We are seeking an experienced Senior Data Delivery Manager to lead the execution of high-quality, data-driven solutions that drive business impact. In this role, you will oversee complex data initiatives, ensuring seamless collaboration across teams and delivering measurable outcomes. You will be an integral part of our organization, enabling strategic decision-making through efficient data delivery and execution. Responsibilities Oversee all phases of data projects to ensure alignment with organizational objectives and on-time deliveryCollaborate with teams such as data engineers, analysts, and stakeholders to maintain shared focus and unified goalsTrack project milestones, assess risks, and implement corrective actions to ensure successCreate and manage detailed project plans that outline timelines and resource allocationsAdvocate for best practices in data management and delivery across teams and departmentsEnsure data consistency, reliability, and accuracy throughout every stage of a projectPartner with stakeholders to understand data needs and translate them into actionable deliverablesServe as a communication bridge between technical teams and business units to ensure clarity and alignmentStreamline operational workflows to improve efficiency and scalability in project executionEvaluate project outcomes and provide regular updates to leadership and stakeholders Requirements Over 10 years of experience in IT roles with a strong foundation in Data ScienceAt least 5 years in leadership positions such as Lead, Manager, or Architect, working within Agile or hybrid environmentsProven track record of managing teams with 40+ membersDirect involvement in a minimum of 8 full project lifecycles or experience launching 2+ products (or key product capabilities) to marketExpertise in planning, overseeing, and monitoring the delivery of complex data projectsAbility to develop and execute data strategies that align with business goals and enhance decision-making processesProficiency in data profiling to uncover patterns, resolve quality issues, and optimize data usageAdvanced-level English communication skills, both written and spokenRelevant certifications such as PMP, Agile Scrum Master, or Data Management certifications Nice to have Certifications in delivery management methodologies such as PMP, PRINCE2, or equivalent credentialsAdvanced knowledge of data platforms and tools for optimizing delivery processes and outcomesFamiliarity with Agile frameworks and their application in structuring data-centric projects We offer International projects with top brandsWork with global teams of highly skilled, diverse peersHealthcare benefitsEmployee financial programsPaid time off and sick leaveUpskilling, reskilling and certification coursesUnlimited access to the LinkedIn Learning library and 22,000+ coursesGlobal career opportunitiesVolunteer and community involvement opportunitiesEPAM Employee GroupsAward-winning culture recognized by Glassdoor, Newsweek and LinkedIn

We are looking for a seasoned Senior Data Delivery Manager to drive the successful implementation of data-focused initiatives. You will be responsible for managing the delivery of complex data projects, ensuring they align with organizational priorities and encouraging collaboration between technical teams and business stakeholders. If you excel at leading data-driven solutions and thrive in a fast-paced environment, we encourage you to apply. Responsibilities Manage all phases of data project delivery to ensure alignment with organizational priorities and timely completionWork closely with data engineers, analysts, and stakeholders to maintain shared goals and focusMonitor project progress, identify potential risks, and take corrective actions to guarantee successful completionDevelop and oversee detailed project plans, including timelines and resource assignmentsChampion best practices in data delivery and management across teams and departmentsEnsure data integrity, reliability, and accuracy throughout all project stagesCollaborate with stakeholders to define data needs and convert them into actionable deliverablesFacilitate communication between technical teams and business units to promote understanding and alignmentOptimize workflows to improve operational efficiency and scalability in project executionAnalyze project outcomes and provide regular updates to stakeholders and leadership Requirements A minimum of 10 years of experience in IT, with a strong background in data science and analyticsAt least 5 years of experience in leadership roles, such as Manager, Lead, or Architect, within Agile or hybrid environmentsDemonstrated ability to manage teams of 40 or more professionals across various disciplinesExperience delivering at least 8 full project cycles or bringing 2+ major products or key capabilities to marketProven expertise in planning, overseeing, and evaluating the delivery of complex data initiativesSkilled in developing and implementing data strategies that align with organizational goals and enable informed decision-makingAdvanced abilities in data profiling to identify patterns, resolve quality issues, and enhance data usabilityExceptional English communication skills, both written and oral, at a professional advanced level Nice to have Certifications in delivery management frameworks, such as PMP, PRINCE2, or similar credentialsAdvanced expertise in leveraging data platforms and tools to optimize project delivery outcomesStrong understanding of Agile methodologies and their application to data-focused projects We offer International projects with top brandsWork with global teams of highly skilled, diverse peersHealthcare benefitsEmployee financial programsPaid time off and sick leaveUpskilling, reskilling and certification coursesUnlimited access to the LinkedIn Learning library and 22,000+ coursesGlobal career opportunitiesVolunteer and community involvement opportunitiesEPAM Employee GroupsAward-winning culture recognized by Glassdoor, Newsweek and LinkedIn

We are searching for an accomplished Senior Data Delivery Manager to lead the successful execution of data-driven projects. In this role, you will oversee the delivery of complex data initiatives, ensuring they meet business objectives while fostering collaboration between technical teams and stakeholders. If you are passionate about delivering impactful solutions through data and thrive in a dynamic, results-oriented environment, we’d love to hear from you. Responsibilities Oversee all aspects of data project delivery to ensure they meet organizational goals and are completed on scheduleCollaborate with data engineers, analysts, and stakeholders to maintain alignment and focus on shared objectivesTrack project timelines, identify risks, and implement necessary adjustments to ensure successful outcomesCreate and manage comprehensive project plans, including schedules, milestones, and resource allocationAdvocate for and implement best practices in data delivery and management across teamsEnsure consistency, accuracy, and reliability of data throughout all phases of project executionWork with stakeholders to identify data requirements and translate them into actionable plansAct as a bridge between technical teams and business units to ensure alignment and clear communicationEnhance operational workflows to improve efficiency and scalability in project deliveryAssess project results and provide frequent progress updates to leadership and stakeholders Requirements Over 10 years of professional experience in IT, with a strong focus on data science and analyticsAt least 5 years in leadership roles, such as Architect, Manager, or Lead, within Agile or hybrid project environmentsProven track record of managing teams of 40 or more professionals across multiple disciplinesExperience completing a minimum of 8 full project lifecycles or successfully launching 2+ major products or critical features to marketExpertise in planning, managing, and evaluating the delivery of intricate data projectsAbility to design and execute data strategies that align with business priorities and support data-driven decision-makingProficiency in data profiling to uncover patterns, address quality concerns, and maximize data utilityAdvanced written and verbal communication skills in English, with professional fluency Nice to have Certifications in project delivery methodologies, such as PMP, PRINCE2, or equivalent qualificationsIn-depth knowledge of advanced data platforms and tools to drive delivery efficiencyFamiliarity with Agile principles and their application to structuring and managing data-centric initiatives We offer International projects with top brandsWork with global teams of highly skilled, diverse peersHealthcare benefitsEmployee financial programsPaid time off and sick leaveUpskilling, reskilling and certification coursesUnlimited access to the LinkedIn Learning library and 22,000+ coursesGlobal career opportunitiesVolunteer and community involvement opportunitiesEPAM Employee GroupsAward-winning culture recognized by Glassdoor, Newsweek and LinkedIn

Senior Microsoft Dynamics 365 (CRM) Developer needed to enhance and develop existing systems. Requires technical skills, problem-solving abilities, and teamwork in a fast-paced environment.

We are looking for an experienced and skilled Lead Microsoft Dynamics 365 (CRM) Developer to join our team. This role involves developing and enhancing existing systems, creating custom solutions, and providing technical guidance on Dynamics 365 (CRM) implementations while working closely with cross-functional teams to deliver high-quality solutions. Responsibilities Implement Dynamics 365 plugins, MDA form scripts, and custom web resourcesBuild new features according to the user story acceptance criteriaDiscuss business and technical/architectural challenges within the teamApply solid engineering practices such as SOLID principles, design patterns, and unit testingDevelop MS Dynamics CRM integrations with external systems using Azure Functions and .Net WebAPICollaborate with Agile teams in sprint planning, estimation, and delivery of assigned tasksContribute to setting up and managing CI/CD pipelines with Azure DevOpsEnsure proper version control and codebase management using GitExtend functionality in the MS Dynamics 365 Customer Service module as requiredMaintain high standards of quality across the development lifecycle Requirements 5+ years of development and customization experience with MS Dynamics CRM productsDevelopment expertise with MS Dynamics CRM Plugins, Workflows, Actions, and JavaScriptKnowledge of SOLID principles, design patterns, and best practices in software engineeringProficiency in collaborating on CI/CD processes using Git and Azure DevOpsExperience developing integrations via Azure Functions and .Net WebAPIBackground in MS Dynamics 365 Customer Service moduleUnderstanding of unit testing and other engineering excellence practices in software deliveryCapability to operate effectively in an agile work environment Nice to have Development experience with HTML and CSSKnowledge of JavaScript frameworks like ReactJSFamiliarity with other Azure services such as App Service and Service BusExperience with Power Automate for workflow automationExpertise in PCF controls and NodeJS development We offer International projects with top brandsWork with global teams of highly skilled, diverse peersHealthcare benefitsEmployee financial programsPaid time off and sick leaveUpskilling, reskilling and certification coursesUnlimited access to the LinkedIn Learning library and 22,000+ coursesGlobal career opportunitiesVolunteer and community involvement opportunitiesEPAM Employee GroupsAward-winning culture recognized by Glassdoor, Newsweek and LinkedIn

We are looking for an experienced and driven Lead Python Software Engineer to join our team, where you will take ownership of designing, developing, and implementing scalable and high-performing software solutions. You will work on challenging projects and have the autonomy to drive innovation in a start-up environment while collaborating with a talented, dynamic team. Responsibilities Lead technical decision-making and ensure the scalability and reliability of software solutionsDesign and implement high-quality backend systems using Python and FastAPI or other Python frameworksCollaborate with cross-functional teams to align on requirements, edge cases, and system designsDeploy, monitor, and manage cloud-based solutions using AWS, Kubernetes, and TerraformContribute to front-end development in React/NextJS/Node for full-stack project needs if requiredDrive innovation by adopting new technologies and introducing best practices Requirements Python, React (TS), or other programming languages with 5+ years of hands-on experienceExpertise in FastAPI or other Python frameworks, coupled with AWS, Kubernetes, and TerraformBackground in high-autonomy roles with the ability to manage tasks from definition to implementationReadiness to thrive in a start-up environment and learn or adapt to new technologies dynamicallyHigh standards for software quality and reliability with a proactive approach to problem-solvingBonus: Skills in FE work with TS/JS, React, NextJS, or Node.js We offer International projects with top brandsWork with global teams of highly skilled, diverse peersHealthcare benefitsEmployee financial programsPaid time off and sick leaveUpskilling, reskilling and certification coursesUnlimited access to the LinkedIn Learning library and 22,000+ coursesGlobal career opportunitiesVolunteer and community involvement opportunitiesEPAM Employee GroupsAward-winning culture recognized by Glassdoor, Newsweek and LinkedIn

We are seeking a skilled Tableau Developer to join our dynamic team and take ownership of designing, implementing, and managing Tableau solutions to support data-driven decision-making. This role requires expertise in creating interactive dashboards, maintaining the Tableau environment, and ensuring performance optimization to meet organizational needs. Responsibilities Design and implement end-to-end Tableau solutions, ensuring scalability, performance, and maintainabilityCreate and maintain data architectures that include data sources, ETL processes, data transformations, and data modelsDefine and enforce best practices for interactive dashboard development and data storytellingServe as the subject matter expert on Tableau’s latest features, functionalities, and best practicesDevelop advanced analytics within Tableau using parameter controls, LOD expressions, and calculated fieldsCollaborate with stakeholders to gather data visualization requirements and translate them into actionable solutionsDesign visually compelling dashboards, charts, graphs, and maps to communicate complex insights effectivelyWork with data engineers to integrate and transform data from multiple sources for visualization purposesEnsure data accuracy, quality, and completeness within Tableau dashboards and reportsOptimize dashboard performance by improving query efficiency and resolving bottlenecksProvide technical support and training to stakeholders and end-users for effective Tableau utilization Requirements 2+ years of experience as a Tableau Developer or in a similar roleKnowledge of Tableau Desktop, Tableau Server, and Tableau PrepSkills in SQL, data modeling, and data warehousing conceptsExpertise in creating complex dashboards with parameter controls and advanced calculationsFamiliarity with ETL tools or workflows that integrate with Tableau (e.g., Alteryx, Informatica)Understanding of modern BI platforms and how Tableau integrates into an enterprise stackCapabilities in performance tuning and troubleshooting Tableau dashboardsBackground in collaborating across cross-functional teams including data engineers and analysts Nice to have Background in front-end data visualization tools like Power BI or LookerFamiliarity with programming languages like Python or R for advanced analyticsKnowledge of cloud platforms such as AWS, Azure, or GCP and their BI integrationsUnderstanding of Tableau’s APIs for automation or custom extensionsShowcase of Tableau certifications or advanced training We offer International projects with top brandsWork with global teams of highly skilled, diverse peersHealthcare benefitsEmployee financial programsPaid time off and sick leaveUpskilling, reskilling and certification coursesUnlimited access to the LinkedIn Learning library and 22,000+ coursesGlobal career opportunitiesVolunteer and community involvement opportunitiesEPAM Employee GroupsAward-winning culture recognized by Glassdoor, Newsweek and LinkedIn

We are seeking a Lead Business Intelligence (BI) Engineer to lead the development of cutting-edge data solutions and empower data-driven decisions through insightful analytics and powerful visualizations. This position leverages Sigma BI, Google Cloud Platform (GCP), and Snowflake to design and implement robust BI solutions that align with strategic business objectives. Responsibilities Develop and maintain visually impactful dashboards and reports using Sigma BITranslate business needs into KPIs and actionable data insightsCollaborate with stakeholders to define project goals and reporting requirementsImplement and maintain scalable data models in Snowflake to support BI processesDesign reusable semantic layers and custom metrics in Sigma BI for effective self-service analyticsWork with data engineering teams to integrate data pipelines with SnowflakeEnsure data accuracy and reliability by conducting thorough testing and validationOptimize BI reports and queries for performance and scalabilityLead the standardization of metrics and report definitions across teamsSupport end-users through training and technical expertise in Sigma BI adoptionMonitor and resolve issues related to data refresh schedules and reporting toolsContribute to process improvements for BI development and delivery efficiency Requirements 5+ years of experience in Business Intelligence development and analytics rolesLeadership experience to guide BI project initiatives and team collaborationAdvanced skills in Sigma BI or experience with similar tools like Tableau, Looker, or Power BIExpertise in SQL and working with Snowflake or similar cloud-based data warehousesFamiliarity with GCP services, including BigQuery, Cloud Storage, or related toolsExperience in designing intuitive dashboards and drawing insights from complex datasetsStrong knowledge of data modeling concepts and building semantic layers for BI platformsBackground in ETL/ELT workflows and integrating them with business intelligence systemsCapability to work collaboratively across business and technical teams Nice to have Experience integrating Snowflake with advanced Sigma BI functionalities such as live queries and data blendingFamiliarity with additional BI platforms, including Power BI and LookerUnderstanding of advanced Sigma BI features to create complex visualizations and workflows We offer International projects with top brandsWork with global teams of highly skilled, diverse peersHealthcare benefitsEmployee financial programsPaid time off and sick leaveUpskilling, reskilling and certification coursesUnlimited access to the LinkedIn Learning library and 22,000+ coursesGlobal career opportunitiesVolunteer and community involvement opportunitiesEPAM Employee GroupsAward-winning culture recognized by Glassdoor, Newsweek and LinkedIn

Join our team as a Senior Data DevOps Engineer. You'll manage and optimize Hadoop and big data infrastructure across production and UAT environments, ensuring peak performance for all teams. We're looking for someone passionate about data with a strong DevOps background.

Talented Senior Developer needed with expertise in Salesforce Primary Clouds. Engage in meaningful projects and advance your career by leveraging your Salesforce development skills.

Se busca un Lead Adobe Engineer con experiencia para gestionar campañas de marketing digital utilizando Adobe Campaign Standard, enfocado en diseñar y optimizar estrategias avanzadas para alcanzar los objetivos comerciales.

Remote Senior Data DevOps Engineer needed to lead data analytics projects for a major international retailer. Ideal candidates have Azure expertise and strong knowledge of DevOps practices.

Remote Senior Data DevOps Engineer needed to design and deploy custom software on Azure. Collaborate with teams on CI/CD tools, troubleshoot issues, and require strong skills in Azure, Databricks, and DataOps with experience in MLOps.

Join our remote team as a Lead Data Software Engineer, driving the development of a data platform for IT solutions in care management. This career-defining role involves system architecture and data product development in an agile environment.

Join our team as a Chief Salesforce Developer to lead Salesforce projects, enhance functionalities, and align them with our business goals. This role combines leadership and technical skills, focusing on UI/API development and team mentorship.

Senior Informatica Developer needed to develop and support ETL processes for an enterprise data warehouse, collaborating with data architects and reporting teams. Bring your expertise to enhance our data integration efforts.

Se busca un Lead Salesforce Developer con experiencia para liderar proyectos de desarrollo en Salesforce, garantizando calidad de código y colaborando con equipos multidisciplinarios en soluciones escalables.

Se requiere un Ingeniero Senior de Infraestructura de Datos para mantener y mejorar un clúster de infraestructura de procesamiento de datos, trabajando con AWS y pipelines de datos.

Join our team as a Lead ETL Developer to build and maintain ETL code using Informatica PowerCenter. Collaborate with data architects and application teams to deliver top-notch data integration solutions.

Join our team as a Senior Data Software Engineer to design and optimize data pipelines for innovative financial solutions across 1,500 branches and online platforms. We are looking for experts to enhance our data-driven decision-making capabilities.

Join our dynamic team as a Chief Salesforce Developer, overseeing development projects, ensuring high-quality code, and collaborating with cross-functional teams to deliver scalable solutions.

Join our team as an Enterprise Data Architect to lead data initiatives and define strategies for our enterprise data warehouse. Collaborate with business and IT teams to ensure high-performing and scalable data systems.

Senior Data Quality Engineer role available to ensure data integrity and reliability, design quality strategies, and collaborate with cross-functional teams for robust data testing and governance.

Experiencia en Tableau y desarrollo de soluciones de visualización de datos para impulsar estrategias de inteligencia empresarial. Colabora en equipos innovadores para crear paneles personalizados y arquitecturas de datos eficientes.

Senior Tableau Developer position available for a skilled professional to manage and optimize our Tableau environment, crafting dashboards to aid data-driven decisions across the organization.

We are seeking a remote Senior Data Quality Engineer to enhance our team, ensuring high data integrity and quality through rigorous testing and collaboration.

Se busca un experto en accesibilidad para liderar la inclusión de estándares en web y aplicaciones, capacitando equipos y mejorando la experiencia del usuario.

Join our remote team as a Chief Data Engineer, leading the delivery of innovative data solutions. In this role, you'll guide teams, design architectures, and tackle complex data challenges, all while fostering a culture of innovation and collaboration.

We are looking for a Senior Cybersecurity Engineer to enhance our security operations and lead our security strategy. This role requires a strong problem solver to identify security gaps, work with technical and business teams, and implement remediation plans. If you seek to make a significant impact in cybersecurity, apply now.

Join our team as a Senior Data Engineer, focusing on developing data infrastructure and optimizing cloud spend through AWS services. Utilize Python, Databricks, and more to deliver insights that drive decision-making.

Remote Senior Data Quality Engineer position available, requiring advanced skills in Data Quality Engineering, T-SQL, and Python (Pandas). Key responsibilities include creating test plans and performing end-to-end testing of data pipelines. A minimum of 3 years of experience in relevant areas is essential.

Join our remote team as a Chief Data Engineer to lead scalable data solutions, oversee technical teams, and tackle complex data challenges. Ideal for candidates with strong technical skills, leadership experience, and a passion for mentoring.

Seeking a proactive Senior Support Engineer to enhance our Security Operations Centre (SOC). Responsibilities include monitoring environments, managing identity and access, developing detection scenarios, and generating reports to strengthen cyber defenses.

Join our remote team as a Chief Data Engineer, where you'll lead the design of innovative data solutions, manage technical teams, and drive impactful projects to solve complex data challenges.

Buscamos un Chief Accessibility Expert para liderar la accesibilidad en nuestras plataformas digitales, capacitando a equipos interdisciplinarios para crear experiencias inclusivas y alineadas con normas de accesibilidad.

We are seeking a skilled Solution Architect to join our team and take charge of designing, implementing, and optimizing API management solutions using the Kong API Management Platform. This position provides a unique opportunity to work with advanced technologies, building secure, scalable API architectures that support seamless system integrations. If you excel at solving technical challenges and enjoy driving innovation, this role is an excellent fit. Responsibilities Design and implement API management solutions using the Kong API Management PlatformDefine and enforce standards, best practices, and guidelines for API management, security, and integrationCreate scalable and tailored architectural solutions to meet business needsDeploy Kong API Gateway, including plugin setup, routing, and custom integration developmentCollaborate with development teams to design APIs, manage the API lifecycle, and ensure smooth backend integrationEnhance API performance, scalability, and security through features like caching, rate limiting, and authentication pluginsCommunicate effectively with peers across various technology domains to ensure alignment and collaborationPresent organizational and architectural strategies to teams and stakeholdersSupport the development of digital platform strategies and roadmapsProvide mentorship to new team members and developers to foster growth and knowledge exchange Requirements At least 8 years of experience in the IT industryMinimum of 3 years in leadership roles such as Architect, Manager, Coordinator, or LeadAt least 2 years of experience managing teams of 20 or more membersProven experience in at least 5 full-cycle projects or in launching products or key product features to marketExpertise in DevOps practices and CI/CD pipelines for API deploymentsIn-depth knowledge of the Kong API Management Platform, including OSS, Kong Enterprise, or KonnectAdvanced skills in designing and developing APIs, including REST, gRPC, and GraphQLHands-on experience with Kong plugins, both native and custom developmentUnderstanding of authentication and authorization protocols like OAuth2, OpenID Connect, and API Key managementProficiency in scripting and automation tools such as Terraform, Ansible, Bash, or PythonExperience with cloud platforms like AWS, Azure, or GCP, as well as containerization tools like Docker and KubernetesProficiency in programming languages such as Java, JavaScript, C#, Ruby, Swift, and C++Comprehensive knowledge of microservices architecture and service mesh patternsExperience with monitoring and observability tools like Prometheus, Grafana, and the ELK stackAdvanced English communication skills, both written and verbal, to engage effectively with clients and stakeholders Nice to have Kong Certified Professional or equivalent certificationsFamiliarity with other API management platforms, including Apigee, Mulesoft, or AWS API GatewayUnderstanding of SQL and NoSQL databases, as well as data modeling for APIs We offer International projects with top brandsWork with global teams of highly skilled, diverse peersHealthcare benefitsEmployee financial programsPaid time off and sick leaveUpskilling, reskilling and certification coursesUnlimited access to the LinkedIn Learning library and 22,000+ coursesGlobal career opportunitiesVolunteer and community involvement opportunitiesEPAM Employee GroupsAward-winning culture recognized by Glassdoor, Newsweek and LinkedIn

Experienced Solution Architect needed to lead design and implementation of API management solutions with the Kong platform, focusing on scalable, secure architectures and seamless system integration.

We are searching for a Data Technology Consultant to join our remote team and play a pivotal role in delivering impactful data solutions for our clients. This position offers the chance to work at the intersection of technology and business, enabling organizations to harness data for measurable outcomes. If you are a strategic thinker who thrives on solving complex challenges through data, this role will be an excellent match for your skills. Responsibilities Collaborate with stakeholders to identify business challenges and craft data-driven solutions aligned with organizational goalsDefine product objectives, set key success metrics, and monitor progress to ensure business impact is achievedWork closely with technical teams, including Solution Architects and Data Engineers, to design scalable and efficient data solutionsLead client engagements and contribute to presales activities, showcasing expertise in data analytics and understanding client needsManage and prioritize product backlogs to ensure alignment with roadmaps and customer expectationsAssess data quality and availability, identifying gaps and recommending improvements in data governance processesStay informed on emerging trends in data analytics and apply insights to enhance solutions and strategiesSupport initiatives for data integration and processing to ensure clean and actionable data for decision-makingClearly communicate insights and strategies to technical and non-technical audiences to align stakeholders across teams Requirements At least 8 years of experience in IT as a Data Analytics Consultant, Data Product Manager, or within a similar consulting roleMinimum of 2 years of experience managing teams of at least 20 employeesProven experience in at least 5 full-cycle projects or launching a product (or major product capability) to marketStrong expertise in data platforms and their applicationsProficiency in SQL and Python for coding and data analysis tasksDemonstrated leadership and management experience in data-focused projectsExperience with cloud platforms such as AWS, Azure, or GCPComprehensive understanding of data architecture, data lifecycle, and data product designHands-on experience delivering data solutions, including data lakes, advanced analytics platforms, and reporting toolsStrong analytical abilities to simplify complex problems and communicate actionable insightsAbility to collaborate effectively with technical teams and business stakeholders to deliver impactful data solutionsProven success in managing and delivering data projects that focus on measurable business valueStrong organizational skills and the ability to manage multiple priorities and projects simultaneouslyAdvanced English proficiency, both written and spoken, to facilitate effective communication with clients and stakeholders Nice to have Certification in Project ManagementExperience with data visualization tools and techniquesFamiliarity with machine learning concepts and advanced data science methodologies We offer International projects with top brandsWork with global teams of highly skilled, diverse peersHealthcare benefitsEmployee financial programsPaid time off and sick leaveUpskilling, reskilling and certification coursesUnlimited access to the LinkedIn Learning library and 22,000+ coursesGlobal career opportunitiesVolunteer and community involvement opportunitiesEPAM Employee GroupsAward-winning culture recognized by Glassdoor, Newsweek and LinkedIn

Remote Senior Data Analyst position focusing on designing, developing, and delivering data-driven solutions. Collaborate with cross-functional teams and ensure high-quality standards in data management systems.

We are seeking a Senior Business Analyst to support project initiatives and drive insights. You will play a pivotal role in the discovery phase and design sprints of a new initiative for our client. Your expertise will ensure that business and user needs are accurately captured and translated into actionable insights that guide design and solution development. We invite you to apply and contribute to impactful projects. Responsibilities Support the discovery phase of initiativesConduct design sprints to ensure project alignmentDocument business and user needs accuratelyTranslate requirements into actionable insightsCollaborate with stakeholders to gather requirementsManage and maintain BA artifactsPlan and execute business analysis activitiesEnsure adherence to data governance practicesElicit information through effective communicationAnalyze data to inform project decisions Requirements 3+ years of experience in Business AnalysisProficiency in SQL for data analysisExperience in managing stakeholders effectivelyBackground in documenting BA artifactsUnderstanding of data governance principlesFamiliarity with elicitation techniques for requirementsFluency in English for effective communication We offer International projects with top brandsWork with global teams of highly skilled, diverse peersHealthcare benefitsEmployee financial programsPaid time off and sick leaveUpskilling, reskilling and certification coursesUnlimited access to the LinkedIn Learning library and 22,000+ coursesGlobal career opportunitiesVolunteer and community involvement opportunitiesEPAM Employee GroupsAward-winning culture recognized by Glassdoor, Newsweek and LinkedIn

Join our team as a highly skilled Data Engineer to maintain and enhance our data systems, improve our Data Platform, and adapt to evolving client needs. Collaborate on impactful projects with complex datasets.

We are looking for a Lead Business Analyst to deliver support for project initiatives and provide actionable insights. You will serve as a key figure during the discovery phase and design stages of a new client initiative. Your expertise will ensure that business and user requirements are captured and translated into strategic insights to guide the development of design and solutions. Join us to make meaningful contributions to transformative projects. Responsibilities Support activities during the discovery phase of projectsFacilitate design sprints to align with project objectivesAccurately document business and user requirementsConvert requirements into actionable insights for implementationCollaborate with stakeholders to ensure comprehensive requirement gatheringMaintain and manage key business analysis (BA) documentationPlan and organize business analysis tasks and schedulesEnsure compliance with established data governance practicesExtract critical details through effective stakeholder communicationPerform data analysis to guide project decision-making Requirements 5+ years working in Business Analysis1+ years of leadership experience in relevant rolesProficiency in SQL for performing data analysisBackground in stakeholder management and relationship buildingExperience documenting and maintaining BA artifactsUnderstanding of principles related to data governanceFamiliarity with techniques to elicit and clarify requirementsFluency in English to ensure clear and effective communication We offer International projects with top brandsWork with global teams of highly skilled, diverse peersHealthcare benefitsEmployee financial programsPaid time off and sick leaveUpskilling, reskilling and certification coursesUnlimited access to the LinkedIn Learning library and 22,000+ coursesGlobal career opportunitiesVolunteer and community involvement opportunitiesEPAM Employee GroupsAward-winning culture recognized by Glassdoor, Newsweek and LinkedIn

We are seeking a Senior Data Analyst to join our remote team, working with a leading global company in the data analytics and visualization industry. As a Senior Data Analyst, you will be responsible for implementing and analyzing data using tools such as Google Analytics, Google Tag Manager, and Tableau. You will work closely with stakeholders to provide insights and recommendations that drive business growth and improve user experiences. If you have a passion for data and analytics, we encourage you to apply for this exciting opportunity. Responsibilities Implement new tags and carry out routine maintenance and updates using Google Tag ManagerWork with external marketing teams to integrate custom tags into the existing frameworkAnalyze data using Google Analytics and Tableau Desktop to provide insights and recommendations to stakeholdersPerform ad hoc analysis and reporting on mini insight projectsMonitor data on a weekly basis to check for errors and ensure data accuracyAssist in the testing and deployment of web surveys through GTM and review and categorize CX survey results on a weekly basisCoordinate with designers and product owners to gather AB testing ideas and manage AB testing communicationsSetup and run AB tests in Google Optimize and perform additional analysis arising from closed AB testsUpdate AB test documentation and reporting Requirements A minimum of 3 years of experience in data analytics and visualization, showcasing your proficiency in data analysis and reportingIn-depth knowledge of Google Analytics and Google Tag Manager, enabling you to implement and maintain tags and track user behaviorExpertise in Tableau, allowing you to create interactive dashboards and data visualizations that drive insights and business decisionsExperience in CX measurement, including web surveys and CX survey results analysisStrong understanding of AB testing methodologies and tools, including Google OptimizeExcellent communication skills and ability to work effectively with cross-functional teamsStrong analytical and problem-solving skills, with the ability to identify trends and patterns in dataFluent spoken and written English at an upper-intermediate level or higher Nice to have SQL, JS, Jira experience a benefit, but not required We offer International projects with top brandsWork with global teams of highly skilled, diverse peersHealthcare benefitsEmployee financial programsPaid time off and sick leaveUpskilling, reskilling and certification coursesUnlimited access to the LinkedIn Learning library and 22,000+ coursesGlobal career opportunitiesVolunteer and community involvement opportunitiesEPAM Employee GroupsAward-winning culture recognized by Glassdoor, Newsweek and LinkedIn

We are searching for a Senior Business Intelligence (BI) Engineer to drive impactful data visualizations and reporting solutions within a highly collaborative team. This role focuses on leveraging Sigma BI alongside Google Cloud Platform (GCP) and Snowflake to deliver actionable insights that empower strategic decision-making across the organization. Responsibilities Develop interactive dashboards and reports that address business challenges using Sigma BITransform business requirements into meaningful KPIs and data visualizationsEnsure accurate, high-quality reporting tailored to end-user needsPartner with data engineers to create scalable data models in Snowflake optimized for BI needsEstablish reusable semantic layers and calculated fields in Sigma BI for streamlined self-service analyticsEngage with business stakeholders to gather insights, define requirements, and deliver impactful solutionsProvide training and technical support on Sigma BI for broader adoptionEnhance report performance by optimizing queries and dashboard designsEnsure data refreshes are timely and deliver reliable insightsPromote standardization of metrics and definitions across all reporting initiativesVerify data accuracy and contribute to quality assurance practices Requirements Minimum 3 years of professional experience with BI development and advanced reportingProficiency with Sigma BI or comparable tools (e.g., Tableau, Looker, Power BI)Advanced SQL skills and experience working with Snowflake or comparable cloud data warehousesUnderstanding of GCP tools such as BigQuery, Cloud Storage, or related ecosystem technologiesExpertise in designing user-centric dashboards and driving actionable insights from complex datasetsBackground in data modeling and crafting semantic layers for business intelligence applicationsKnowledge of ETL/ELT workflows and their integration with BI systems Nice to have Experience integrating BI solutions with Snowflake-based pipelinesFamiliarity with Sigma BI's advanced capabilities, such as live queries and data blendingUnderstanding of additional BI platforms like Power BI and Looker We offer International projects with top brandsWork with global teams of highly skilled, diverse peersHealthcare benefitsEmployee financial programsPaid time off and sick leaveUpskilling, reskilling and certification coursesUnlimited access to the LinkedIn Learning library and 22,000+ coursesGlobal career opportunitiesVolunteer and community involvement opportunitiesEPAM Employee GroupsAward-winning culture recognized by Glassdoor, Newsweek and LinkedIn

We are seeking a skilled Salesforce Business Analyst to drive impactful solutions by bridging the gap between business requirements and technical implementation. The ideal candidate will focus on delivering exceptional results for Customer Portals through the effective utilization of Salesforce products. Responsibilities Collect and document detailed business requirements to align with Salesforce solution capabilitiesCollaborate with stakeholders to define project goals and ensure alignment with business objectivesAnalyze and translate business needs into functional specifications and workflowsWork closely with development teams to ensure proper implementation of Experience Cloud solutionsFacilitate and lead workshops to gather insights and feedback from end-users and stakeholdersManage project milestones, risks, and deliverables for on-time completionAdvocate for user-centric design and functionality within the Salesforce environmentConduct testing and validation to verify solutions meet established requirementsMonitor and optimize ongoing performance of implemented solutionsProvide training and support for internal teams and end-users Requirements 2+ years of experience working as a Business Analyst or in a similar role within Salesforce projectsFamiliarity with Experience Cloud, showing the ability to align functionality with business needsKnowledge of integrations baseline, ensuring smooth data flows across platformsExceptional analytical abilitiesEffective communication and problem-solving competencyEnglish proficiency at C1 level Nice to have Knowledge of Sales/Service CloudProficiency to adapt to diverse Salesforce products and solutionsUnderstanding of how Customer Portals extend CRM capabilities in various industries We offer International projects with top brandsWork with global teams of highly skilled, diverse peersHealthcare benefitsEmployee financial programsPaid time off and sick leaveUpskilling, reskilling and certification coursesUnlimited access to the LinkedIn Learning library and 22,000+ coursesGlobal career opportunitiesVolunteer and community involvement opportunitiesEPAM Employee GroupsAward-winning culture recognized by Glassdoor, Newsweek and LinkedIn

Join our team as a Lead Android Developer to innovate TV technology. Collaborate on cutting-edge solutions and take charge of Android development for a groundbreaking product. Must have 5+ years of Android experience and leadership skills.

Senior Data DevOps Engineer role focused on enhancing data infrastructure and streamlining development processes in a collaborative environment. Responsibilities include developing data pipelines, automating deployments, and ensuring data security.

Join our team as a Chief Android Developer to lead innovative TV technology. Drive strategic innovation, mentor teams, and ensure world-class Android solutions. Collaborate with senior leadership to shape groundbreaking products.

We are seeking a highly skilled and experienced Senior Adobe Engineer to drive and manage digital marketing campaigns on Adobe Campaign Standard platforms. This role involves crafting, executing, and optimizing sophisticated marketing strategies to maximize business outcomes in collaboration with cross-functional teams. Responsibilities Develop and execute marketing strategies to meet organizational goalsDesign, manage, and execute complex campaigns leveraging Adobe Campaign Standard features such as custom resources, real-time events, workflows, content blocks, fragments, and typology rulesEnsure the quality and accuracy of customer data to enhance targeting effectivenessImplement automation processes for streamlined campaign executionApply dynamic content and personalization techniques to boost customer interactionConduct A/B testing to evaluate campaign components and optimize performanceGenerate detailed campaign reports, deliver insights, and provide actionable recommendationsUtilize expertise in HTML, CSS, JavaScript, and REST API services to enable integrations with upstream/downstream systems Requirements Minimum 3 years of demonstrated experience in digital marketing using Adobe Campaign StandardSolid understanding of Adobe Campaign Standard use cases, best practices, and comprehensive campaign managementSkills in Adobe Campaign Classic, Adobe Campaign Standard, and SQLCompetency in integrating technologies with REST APIs and working knowledge of HTML, CSS, and JavaScriptBackground in analyzing and streamlining customer data practices for effective targeting Nice to have Familiarity with APIs and integration to expand platform capabilitiesKnowledge of Snowflake for database or data warehousing needs We offer International projects with top brandsWork with global teams of highly skilled, diverse peersHealthcare benefitsEmployee financial programsPaid time off and sick leaveUpskilling, reskilling and certification coursesUnlimited access to the LinkedIn Learning library and 22,000+ coursesGlobal career opportunitiesVolunteer and community involvement opportunitiesEPAM Employee GroupsAward-winning culture recognized by Glassdoor, Newsweek and LinkedIn

We are seeking a highly skilled remote Senior Data DevOps Engineer to join our team, working on a cutting-edge project that leverages the latest technologies in Azure Data Factory, Azure DevOps, and Databricks. In this position, you will play a critical role in designing, building, and deploying data pipelines, ensuring the reliability, scalability, and performance of our data systems. This is a unique opportunity to work on a project that has a significant impact on our business and the industry, collaborating with a team of talented professionals. Responsibilities Design, build, and deploy data pipelines using Azure Data Factory, Databricks, and other related technologiesAutomate data operations using Python or Java, ensuring the reliability and scalability of data systemsCollaborate with cross-functional teams to understand business requirements and design data solutions that meet those needsImplement DataOps and MLOps practices, ensuring the quality and accuracy of data systemsMonitor and troubleshoot data pipelines, identifying and resolving issues in a timely mannerDevelop and maintain documentation for data systems and processesStay up-to-date with the latest trends and technologies in data engineering and DevOps Requirements A minimum of 3 years of experience in Data DevOps, demonstrating your expertise in designing, building, and deploying data pipelines in Microsoft AzureIn-depth knowledge of Azure Data Factory, Azure DevOps, Databricks, and other related technologiesExperience with DataOps and MLOpsStrong programming skills in Python or JavaGood understanding of cloud infrastructure and networking concepts, including security, scalability, and resilienceExcellent communication skills and the ability to work collaboratively with cross-functional teamsStrong analytical and problem-solving skills, enabling you to identify and resolve complex issuesFluent spoken and written English at an Upper-intermediate level or higher (B2+) Nice to have Experience with other cloud platforms such as AWS or Google CloudKnowledge of big data technologies such as Hadoop, Spark, or KafkaExperience with containerization technologies such as Docker and KubernetesCertifications in Microsoft Azure or related technologies We offer International projects with top brandsWork with global teams of highly skilled, diverse peersHealthcare benefitsEmployee financial programsPaid time off and sick leaveUpskilling, reskilling and certification coursesUnlimited access to the LinkedIn Learning library and 22,000+ coursesGlobal career opportunitiesVolunteer and community involvement opportunitiesEPAM Employee GroupsAward-winning culture recognized by Glassdoor, Newsweek and LinkedIn

We are seeking a highly skilled Senior Adobe Campaign Developer to collaborate closely with client teams, defining goals, strategies, and development approaches to ensure successful project delivery in the most effective and efficient manner. Responsibilities Provide Adobe Campaign support to the clientOffer weekly consultations to address client questions or resolve issuesDevelop and create import workflows tailored to client needsConfigure dynamic content within email templates for optimized communicationsTroubleshoot and investigate issues such as excessive active profiles in Adobe Campaign Standard Requirements 3+ years of working experience with Adobe CampaignKnowledge of dynamic email content configuration and import workflow developmentProficiency in analyzing and investigating platform-specific issuesStrong critical thinking and problem-solving skillsEffective communication skills and a proactive approach to client interactionsStrong skills in English (B2 level), both written and spoken We offer International projects with top brandsWork with global teams of highly skilled, diverse peersHealthcare benefitsEmployee financial programsPaid time off and sick leaveUpskilling, reskilling and certification coursesUnlimited access to the LinkedIn Learning library and 22,000+ coursesGlobal career opportunitiesVolunteer and community involvement opportunitiesEPAM Employee GroupsAward-winning culture recognized by Glassdoor, Newsweek and LinkedIn

We are seeking a remote Senior Data DevOps Engineer to join our team, working on a cutting-edge project in the healthcare industry. In this position, you will be responsible for designing and implementing data pipelines, managing data infrastructure, and optimizing data workflows. You will also be responsible for ensuring the reliability and scalability of our data systems, working closely with cross-functional teams to deliver high-quality data products. If you are passionate about data engineering and have a strong background in DevOps, we invite you to join our team. Responsibilities Design and implement data pipelines, ensuring the reliability and scalability of our data systemsManage data infrastructure, including data storage, compute resources, and data processing systemsOptimize data workflows, ensuring efficient data processing and deliveryCollaborate with cross-functional teams to deliver high-quality data products, including data models, reports, and dashboardsEnsure the security and compliance of our data systems, working closely with our security team to implement best practicesMonitor and troubleshoot data systems, identifying and resolving issues proactivelyContinuously improve our data engineering processes, leveraging automation and DevOps best practices Requirements A minimum of 3 years of experience in Data Platform Engineering with a focus on DevOps CI/CD activitiesStrong experience in Google Cloud Platform, especially Google Cloud BigQuery, and Google Cloud APIsKnowledge of PythonExperience with Kubernetes and Docker, enabling you to deploy and manage containerized applications efficientlyStrong experience with data modeling and database design, including SQL and NoSQL databasesProven experience in managing and scaling large-scale data systems, ensuring high availability and reliabilityStrong problem-solving skills and the ability to think critically about complex data engineering challengesExcellent communication skillsFluent spoken and written English at an Upper-Intermediate level or higher (B2+) Nice to have Experience with other cloud platforms, such as AWS or AzureExperience with data visualization tools, such as Tableau or Power BIExperience with machine learning frameworks, such as TensorFlow or PyTorchExperience with data streaming technologies, such as Apache Kafka or Google Cloud Pub/Sub We offer International projects with top brandsWork with global teams of highly skilled, diverse peersHealthcare benefitsEmployee financial programsPaid time off and sick leaveUpskilling, reskilling and certification coursesUnlimited access to the LinkedIn Learning library and 22,000+ coursesGlobal career opportunitiesVolunteer and community involvement opportunitiesEPAM Employee GroupsAward-winning culture recognized by Glassdoor, Newsweek and LinkedIn

We are looking for a highly experienced Lead Data Engineering Developer to join our team. This role involves building, optimizing, and maintaining complex data pipelines, leveraging your expertise in Python, Spark, Hive, and cloud environments. You'll play a critical role in delivering high-quality data solutions for dynamic projects. Responsibilities Design, develop, and maintain complex data pipelines to support large-scale data processingWrite clean, efficient, and test-driven code using Python and SQLImplement unit testing with mock frameworks as part of the development processWork extensively with Spark and Hive for data processing and transformationCollaborate with teams to optimize data structures and algorithms for performanceUtilize AWS components (EC2, S3, Lambda, DynamoDB, SQS, RDS) for cloud-based data processing and storageEnsure the scalability and reliability of data workflows and pipelines Requirements At least 7 years of hands-on experience in data engineering or related fieldsStrong coding skills in Python with deep expertise in SQLExperience with test-driven development and writing unit tests using mock frameworksProven ability to design and manage complex data pipelinesExtensive knowledge of Spark and Hive data processing frameworksSolid understanding of data structures and algorithmsHands-on experience with AWS cloud services including EC2, S3, Lambda, DynamoDB, SQS, and RDSEnglish language proficiency at B2+ level Nice to have Experience with data orchestration tools like AirflowFamiliarity with other cloud platforms or additional AWS servicesBackground in optimizing data pipelines for machine learning or analytics use cases We offer International projects with top brandsWork with global teams of highly skilled, diverse peersHealthcare benefitsEmployee financial programsPaid time off and sick leaveUpskilling, reskilling and certification coursesUnlimited access to the LinkedIn Learning library and 22,000+ coursesGlobal career opportunitiesVolunteer and community involvement opportunitiesEPAM Employee GroupsAward-winning culture recognized by Glassdoor, Newsweek and LinkedIn

We are seeking a Lead Salesforce Service/Health Cloud Developer to join our team and enhance our Salesforce capabilities. As a Lead Salesforce Service Cloud Developer, you will leverage your expertise in Salesforce development and integration to support our healthcare and life sciences initiatives. If you are passionate about transforming client experiences through innovative solutions, we encourage you to apply! Responsibilities Oversee the development of Salesforce applications using Apex and Lightning componentsManage Salesforce integrations with on-premises applicationsImplement and configure Salesforce Health Cloud and Service Cloud featuresDevelop and maintain Single Sign-On (SSO) settingsCollaborate with business groups to establish data sharing rulesUtilize Copado for release management processesSupervise and mentor team members to promote best practices Requirements 5+ years of experience in Salesforce developmentAt least 1 year of relevant leadership experienceProficiency in Salesforce Health Cloud (mandatory) and Service Cloud (optional)Experience in APEX development and Lightning Web ComponentsCapability to manage integrations and handle Apex calloutsUnderstanding of data sharing rules across business unitsEnglish level B2+ for effective communication Nice to have Certifications in Salesforce DevelopmentKnowledge of healthcare and life sciences industry standardsFamiliarity with Marketing Cloud We offer International projects with top brandsWork with global teams of highly skilled, diverse peersHealthcare benefitsEmployee financial programsPaid time off and sick leaveUpskilling, reskilling and certification coursesUnlimited access to the LinkedIn Learning library and 22,000+ coursesGlobal career opportunitiesVolunteer and community involvement opportunitiesEPAM Employee GroupsAward-winning culture recognized by Glassdoor, Newsweek and LinkedIn

Senior Data DevOps Engineer needed for remote team to develop and maintain large-scale big data infrastructure. Collaborate with cross-functional teams to ensure reliability and performance.

We are seeking a talented Senior Data DevOps Engineer to join our remote team, working on a groundbreaking project in the healthcare industry that leverages advanced data analytics and machine learning to improve patient outcomes. In this role, you will play a critical role in designing, building, and maintaining the infrastructure and tools necessary to support our data analytics and machine learning pipelines. You will work closely with cross-functional teams to ensure that our data pipelines are scalable, reliable, and efficient and that our data scientists and machine learning engineers have the resources they need to succeed. Responsibilities Design, build, and maintain the infrastructure and tools necessary to support our data analytics and machine learning pipelinesCollaborate with data scientists and machine learning engineers to ensure that our data pipelines are scalable, reliable, and efficientWork with cross-functional teams to ensure that our data infrastructure is secure and compliant with relevant regulations and best practicesDevelop and maintain CI/CD pipelines for our data analytics and machine learning pipelinesMonitor and troubleshoot issues with our data pipelines and infrastructureContinuously evaluate and improve our data infrastructure and tools to ensure that we are using the latest and most effective technologies Requirements A minimum of 3 years of experience in Data DevOps, including experience with CI/CD, Kubernetes, and DockerHands-on experience with Amazon Web Services, Linux, and TerraformProven experience designing and building scalable, reliable, and efficient data pipelines, including experience with data ingestion, transformation, and storageStrong understanding of data analytics and machine learning concepts and how they can be applied to real-world problemsExperience with infrastructure automation tools such as Ansible, Chef, or PuppetExcellent communication skills and the ability to collaborate effectively with cross-functional teamsStrong problem-solving skills and the ability to think critically about complex technical problemsFluent spoken and written English at an Upper-Intermediate level or higher (B2+) Nice to have Experience with other cloud platforms such as Google Cloud Platform or Microsoft AzureExperience with other DevOps tools such as Jenkins or GitLabExperience with other data analytics and machine learning tools and frameworks such as Apache Spark or TensorFlow We offer International projects with top brandsWork with global teams of highly skilled, diverse peersHealthcare benefitsEmployee financial programsPaid time off and sick leaveUpskilling, reskilling and certification coursesUnlimited access to the LinkedIn Learning library and 22,000+ coursesGlobal career opportunitiesVolunteer and community involvement opportunitiesEPAM Employee GroupsAward-winning culture recognized by Glassdoor, Newsweek and LinkedIn

We are looking for a Senior Site Reliability Engineer to join our team and play a key role in ensuring the reliability, scalability, and performance of our systems. This position involves working across the entire service lifecycle, from design and deployment to monitoring and optimization. You will collaborate with global teams, tackle complex challenges, and implement automation strategies to improve system resilience and efficiency. Your expertise will be instrumental in maintaining the stability of critical systems and driving continuous improvement. Responsibilities Participate in and enhance the full lifecycle of services, including design, deployment, operation, and refinementAnalyze ITSM activities for the platform and provide feedback to development teams to address operational gaps and improve resiliencySupport services pre-launch through system design consultation, capacity planning, and launch reviewsMonitor live services by tracking availability, latency, and overall system healthScale systems sustainably through automation and advocate for changes that enhance reliability and velocityLead application automation efforts to validate and promote software across environments while adhering to best practicesPractice incident response with a focus on sustainable solutions and conduct blameless postmortemsTake a proactive approach to problem-solving, connecting insights across the technology stack during production events to minimize recovery timeCollaborate with global teams across multiple regions and time zones to ensure consistent support and operationsShare expertise and provide mentorship to junior team members Requirements Bachelor’s degree in Computer Science, or a related technical field involving coding (e.g., physics or mathematics), or equivalent practical experienceAt least three years of hands-on experience as a Site Reliability EngineerExperience with technologies such as COBOL, JCL, VSAM, DB2, CICS, and MQStrong knowledge of algorithms, data structures, scripting, pipeline management, and software designA systematic approach to problem-solving combined with excellent communication skills and a strong sense of ownership and driveProficiency in debugging and optimizing code, as well as automating routine tasksExperience working with diverse stakeholders and handling urgent situations while making effective decisionsInterest and expertise in designing, analyzing, and troubleshooting large-scale distributed systemsEnglish proficiency at a B2 level or higher, with strong verbal and written communication skills Nice to have Familiarity with cloud-native tools and platforms for enhancing system performance and scalabilityExperience implementing observability solutions to monitor and optimize distributed systemsKnowledge of containerization and orchestration tools such as Docker and Kubernetes for managing application environments We offer International projects with top brandsWork with global teams of highly skilled, diverse peersHealthcare benefitsEmployee financial programsPaid time off and sick leaveUpskilling, reskilling and certification coursesUnlimited access to the LinkedIn Learning library and 22,000+ coursesGlobal career opportunitiesVolunteer and community involvement opportunitiesEPAM Employee GroupsAward-winning culture recognized by Glassdoor, Newsweek and LinkedIn

We are seeking a highly skilled Senior Data DevOps Engineer to join our remote team, working on a cutting-edge project in the financial services industry. In this role, you will be responsible for designing, implementing, and maintaining the infrastructure and tools necessary for the development, testing, and deployment of data-driven applications. You will work closely with cross-functional teams to ensure the seamless integration of data pipelines, databases, and data analytics tools. If you are passionate about DevOps and data engineering, we invite you to apply for this exciting opportunity. Responsibilities Design, implement, and maintain the infrastructure required for the development, testing, and deployment of data-driven applicationsBuild, configure, and manage CI/CD pipelines using tools such as Jenkins, GitLab, or CircleCIDeploy and manage Kubernetes clusters for containerized applications and microservicesDevelop and maintain Docker images for data processing and analytics toolsConfigure and manage Amazon Web Services resources, including EC2 instances, S3 buckets, and RDS databasesAutomate infrastructure deployment and management using Terraform and other infrastructure-as-code toolsMonitor and troubleshoot infrastructure issues, ensuring high availability and performance of data pipelines and databasesCollaborate with data scientists and analysts to ensure seamless integration of data pipelines and analytics tools Requirements A minimum of 3 years of experience in Data DevOps, demonstrating your expertise in designing and implementing data pipelines, databases, and data analytics toolsIn-depth knowledge of CI/CD pipelines and HelmStrong experience with Kubernetes, Docker, Amazon Web Services, Linux, and TerraformFamiliarity with Elastic StackExperience with distributed data processing frameworks such as Apache Spark, Kafka, or FlinkExpertise in scripting languages such as Python, Bash, or PowerShell, allowing you to automate tasks and manage infrastructure as codeStrong interpersonal and communication skills, enabling you to collaborate effectively with cross-functional teams and stakeholdersAbility to work independently and manage multiple projects simultaneously, while maintaining a high level of performanceFluent spoken and written English at an Upper-intermediate level or higher (B2+) Nice to have Experience with data governance and security practices, including data encryption, access control, and compliance requirementsKnowledge of machine learning frameworks and tools, including TensorFlow, PyTorch, or Scikit-learnExperience with big data technologies such as Hadoop, Hive, or PrestoFamiliarity with data visualization tools such as Tableau, Power BI, or Grafana We offer International projects with top brandsWork with global teams of highly skilled, diverse peersHealthcare benefitsEmployee financial programsPaid time off and sick leaveUpskilling, reskilling and certification coursesUnlimited access to the LinkedIn Learning library and 22,000+ coursesGlobal career opportunitiesVolunteer and community involvement opportunitiesEPAM Employee GroupsAward-winning culture recognized by Glassdoor, Newsweek and LinkedIn

Join our remote team as a Senior Data Software Engineer within a global leader in data-driven solutions. We are seeking a highly skilled and experienced individual to take ownership of building and implementing reusable DataBricks components for data ingestion and analytics. The successful candidate will collaborate closely with architects, technical leads, and other functional groups to ensure the creation of effective and efficient solutions. This role presents an opportunity to drive innovation and contribute to the optimization of the company's data solutions. Responsibilities Design and implement reusable DataBricks components for data ingestion and analyticsIngest data via batch, streaming, and replication into data lake and make data available for reporting and predictive modelingEstablish security controls, integration with data governance and clear auditable data lineageBuild collaborative partnerships with architects, technical leads, and key individuals within other functional groupsParticipate in code review and test solutions to ensure they meet best practice specificationsWrite project documentationProvide technical input for new feature requirements, partnering with business owners and architectsEnsure continuous improvement by staying abreast of industry trends and emerging technologiesDrive the implementation of solutions aligned with business objectivesCollaborate with cross-functional teams to achieve project goals Requirements At least 3+ years of experience in Data Software EngineeringExpertise in Databricks and PySpark for building and managing Big Data analytics applicationsHands-on experience with Microsoft Azure, including Azure Synapse Analytics, SQL Azure, and ADLS for designing and deploying scalable, available and fault-tolerant systemsExperience in building data ingestion pipelines, data warehousing or database architectureDeep understanding of data modeling concepts and experience with modern Big Data componentsStrong coding experience with Python for building data solutionsUnderstanding of compliance awareness, such as PI, GDPR, HIPAA for data security and privacyExperience in actively participating in code review and testing solutions to ensure they meet best practice specificationsExcellent communication skills in spoken and written English, at an upper-intermediate level or higher Nice to have Experience with Power BI for data visualization and reporting We offer International projects with top brandsWork with global teams of highly skilled, diverse peersHealthcare benefitsEmployee financial programsPaid time off and sick leaveUpskilling, reskilling and certification coursesUnlimited access to the LinkedIn Learning library and 22,000+ coursesGlobal career opportunitiesVolunteer and community involvement opportunitiesEPAM Employee GroupsAward-winning culture recognized by Glassdoor, Newsweek and LinkedIn

Join our remote team as a Senior Data Software Engineer within a global leader in digital transformation and technology services. We are looking for an experienced software developer with a strong background in data engineering to join our team. The ideal candidate will be responsible for implementing reusable DataBricks components for data ingestion and data analytics. They will have experience ingesting data into a data lake via batch, streaming, and replication and making data available for reporting and predictive modeling, as well as establishing security controls, integration with data governance, and clear auditable data lineage. The Senior Data Software Engineer will work collaboratively with architects, technical leads, and key individuals within other functional groups to develop and test solutions that meet best practice specifications. Responsibilities Implementing reusable DataBricks components for data ingestion and data analyticsIngesting data into a data lake via batch, streaming, and replication and making data available for reporting and predictive modelingEstablishing security controls, integration with data governance, and clear auditable data lineageCollaborating with architects, technical leads, and key individuals within other functional groups to develop and test solutions that meet best practice specificationsParticipating in code review and testing solutions to ensure they meet best practice specificationsWriting project documentation to ensure that other developers can easily understand and use the codeBuilding collaborative partnerships with architects, technical leads, and key individuals within other functional groupsContinuously updating skills and knowledge to keep up with industry trends and best practices Requirements At least 3+ years of experience in software engineering with a focus on data engineeringProficient in Python coding and PySpark developmentExperience building data ingestion pipelines, Data Warehouse or Database architecture.Hands-on experience with modern Big Data components like Databricks, SQL Azure, and Microsoft AzureExperience in designing, deploying, and administering scalable, available, and fault-tolerant systems in a cloud environmentStrong ability to write clean, maintainable, and well-documented codeExperience in data modeling and working with data-oriented personality and compliance awareness, such as PI, GDPR, and HIPAAExcellent communication skills in spoken and written English, at an upper-intermediate level or higher Nice to have Experience with Power BI, Azure Synapse Analytics, and ADLS is a plus We offer International projects with top brandsWork with global teams of highly skilled, diverse peersHealthcare benefitsEmployee financial programsPaid time off and sick leaveUpskilling, reskilling and certification coursesUnlimited access to the LinkedIn Learning library and 22,000+ coursesGlobal career opportunitiesVolunteer and community involvement opportunitiesEPAM Employee GroupsAward-winning culture recognized by Glassdoor, Newsweek and LinkedIn

Become a key player in our remote team by taking on the role of a Senior Data Software Engineer dedicated to a project centered around Databricks workflows, APIs, analytical development, and data engineering. In this role, your primary focus will involve constructing and sustaining intricate data pipelines, facilitating seamless deployment to production. Your responsibilities extend to crafting end-to-end production solutions while engaging with cross-functional teams to deliver top-notch results. Responsibilities Engage in the Agile development process (Scrum) to conceive and implement innovative featuresPrioritize and uphold high-quality standards throughout each developmental phaseEnsure the dependability, accessibility, performance, and scalability of systemsTroubleshoot and maintain code within expansive, intricate environmentsWork in tandem with Developers, Product and Program Management, and seasoned technical professionals to furnish customer-centric solutionsProvide technical insights for new feature requirements in collaboration with business owners and architectsStay abreast of industry trends and emerging technologies for continuous improvementChampion the execution of solutions aligned with business objectivesGuide and mentor less seasoned team members, fostering skill enhancement and career growthParticipate in code reviews, ensuring adherence to standards and code qualityCollaborate seamlessly with cross-functional teams to achieve project objectivesActively contribute to architectural and technical discourse Requirements A minimum of 3 years of hands-on experience in Data Software EngineeringProficiency in Databricks, Microsoft Azure, PySpark, Python, and SQL for development and deployment in productionFamiliarity with Azure DevOps, GitHub (or alternative platforms), and version control for efficient project managementCapability to develop comprehensive end-to-end production solutionsRobust experience on one or more cloud platforms such as Azure, GCP, AWSProven track record in constructing resilient data pipelinesCapacity to integrate disparate elements for solutions spanning multiple systemsExceptional communication skills in both spoken and written English, at an upper-intermediate level or higher Nice to have Experience with REST APIs and Power BI would be an advantage We offer International projects with top brandsWork with global teams of highly skilled, diverse peersHealthcare benefitsEmployee financial programsPaid time off and sick leaveUpskilling, reskilling and certification coursesUnlimited access to the LinkedIn Learning library and 22,000+ coursesGlobal career opportunitiesVolunteer and community involvement opportunitiesEPAM Employee GroupsAward-winning culture recognized by Glassdoor, Newsweek and LinkedIn

Join our remote team as a Senior Data Software Engineer . We are actively seeking a hands-on and deeply technical engineer to collaborate closely with development peers, product leadership, and other technical staff to create innovative and impactful solutions. This role offers an opportunity to contribute significantly to the design, development, and optimization of features in a dynamic Agile development environment, with a focus on Databricks workflows, APIs, and Data Engineering. Responsibilities Design and develop new features using the Agile development process (Scrum)Prioritize and ensure high-quality standards at every stage of developmentGuarantee reliability, availability, performance, and scalability of systemsMaintain and troubleshoot code in large-scale, complex environments.Collaborate with Developers, Product and Program Management, and senior technical staff to deliver customer-centric solutions.Provide technical input for new feature requirements, partnering with business owners and architectsEnsure continuous improvement by staying abreast of industry trends and emerging technologiesDrive the implementation of solutions aligned with business objectives.Mentor and guide less experienced team members, helping them enhance their skills and grow their careersParticipate in code reviews, ensuring code quality and adherence to standardsCollaborate with cross-functional teams to achieve project goalsActively contribute to architectural and technical discussions Requirements At least 3 years of production experience in Data Software EngineeringExpertise in Databricks, Microsoft Azure, PySpark, Python, and SQL for building both within development and enabling deployment to productionExperience with Azure DevOps, GitHub, (or others), and version control for effective project managementAbility to develop end-to-end production solutionsStrong experience working on one or more cloud platforms such as Azure, GCP, AWSExperience in building out robust data pipelinesAbility to tie loose ends together for solutions across systemsExcellent communication skills in spoken and written English, at an upper-intermediate level or higher Nice to have Experience with REST APIs and Power BI would be a plus We offer International projects with top brandsWork with global teams of highly skilled, diverse peersHealthcare benefitsEmployee financial programsPaid time off and sick leaveUpskilling, reskilling and certification coursesUnlimited access to the LinkedIn Learning library and 22,000+ coursesGlobal career opportunitiesVolunteer and community involvement opportunitiesEPAM Employee GroupsAward-winning culture recognized by Glassdoor, Newsweek and LinkedIn

We are seeking a highly skilled Lead Data Software Engineer to join our remote team, working on a project for a German logistics company that provides courier, package delivery, and express mail service, delivering over 1.8 billion parcels per year. In this role, you will lead a team of data software engineers to design, develop and maintain scalable data solutions that meet the company's business needs. If you possess strong leadership skills and a proven track record in data software engineering, we encourage you to apply. Responsibilities Lead a team of data software engineers to design, develop, and maintain scalable data solutions that meet the company's business needsCollaborate with cross-functional teams to identify and analyze data requirements, design data models, and develop data integration solutionsEnsure the security, reliability, and scalability of data solutions by implementing industry best practicesCreate, maintain and improve data pipelines to facilitate accurate and efficient data transfersParticipate in the development of project plans, timelines and budgetsPerform code reviews and ensure adherence to coding standards and best practicesProvide technical guidance and mentorship to team members to enhance their skills and knowledge Requirements Minimum of 5 years of relevant work experience in Data Software Engineering roleAt least 1 year of experience in a leadership roleExpertise in Python programmingComprehensive understanding of Data Modeling concepts and techniquesProficiency in Amazon Web Services (AWS), Snowflake and other cloud-based data warehousing solutionsStrong command of SQL and experience with databases like MySQL, PostgreSQL and OracleExcellent communication and collaboration skills to work in cross-functional teamsBachelor's or Master's degree in Computer Science, Information Systems or a related fieldFluent English language skills with an Upper-Intermediate level Nice to have Experience with Big Data technologies such as Hadoop, Spark and KafkaFamiliarity with Docker and Kubernetes We offer International projects with top brandsWork with global teams of highly skilled, diverse peersHealthcare benefitsEmployee financial programsPaid time off and sick leaveUpskilling, reskilling and certification coursesUnlimited access to the LinkedIn Learning library and 22,000+ coursesGlobal career opportunitiesVolunteer and community involvement opportunitiesEPAM Employee GroupsAward-winning culture recognized by Glassdoor, Newsweek and LinkedIn

Join our remote team as a Senior Data Software Engineer within a global leader in providing innovative solutions for data management and analytics. We are looking for a highly skilled and experienced engineer who will be responsible for developing and implementing data solutions, as well as ensuring the quality, performance, and scalability of data systems. This role offers an opportunity to work with cutting-edge technologies and to contribute to the continued growth of our company and its clients. Responsibilities Designing, developing, and implementing data solutions in collaboration with stakeholdersEnsuring the quality, performance, and scalability of data systems through regular maintenance and optimizationIdentifying and resolving issues related to data quality, data processing, and data integrationProviding support for data-related issues and incidentsCollaborating with cross-functional teams to deliver customer-centric solutionsDefining and implementing data management best practices and standardsCreating and maintaining technical documentation for data systems and solutionsEnsuring compliance with data security and privacy regulationsLeading and mentoring less experienced team members to enhance their skills and grow their careersParticipating in code reviews and ensuring adherence to coding standardsStaying up-to-date with emerging data technologies and trends Requirements At least 3+ years of solid/hands-on experience in Data Software EngineeringExpertise in PySpark for data processing and analysisExperience working with Azure Data Factory for building and managing data pipelinesAdvanced SQL knowledge for designing and managing database schema, including procedures, triggers, and viewsProficiency in Python for data manipulation and scriptingExperience with cloud-based data management tools such as hdinishght, Azure Data Lake, and Data APIKnowledge of Spark, Scala, and Kafka for distributed computing and real-time data processingExpertise in Databricks for data engineering and analyticsExperience with EDL changes in DB Views/Stored proceduresExperience in data analysis and troubleshootingAbility to provide integration testing supportAbility to plan and implement new requirements/data entities on EDLExcellent communication skills in spoken and written English, at an upper-intermediate level or higher Nice to have Experience with Hadoop, Hive, and MapReduce is a plusFamiliarity with AWS, GCP, or other cloud platforms is a plus We offer International projects with top brandsWork with global teams of highly skilled, diverse peersHealthcare benefitsEmployee financial programsPaid time off and sick leaveUpskilling, reskilling and certification coursesUnlimited access to the LinkedIn Learning library and 22,000+ coursesGlobal career opportunitiesVolunteer and community involvement opportunitiesEPAM Employee GroupsAward-winning culture recognized by Glassdoor, Newsweek and LinkedIn

We are looking for a highly skilled and experienced Lead Data Software Engineer to join our collaborative team. As part of our engineering team, you will lead efforts to design, build, and optimize data pipelines and workflows, enabling our business to deliver innovative financial solutions for our customers across 1,500 branches and online platforms. Your expertise in data engineering, leadership skills, and passion for leveraging cutting-edge technologies will drive meaningful business outcomes, inspire your team, and enhance our data-driven decision-making capabilities. Responsibilities Lead the design and development of ingestion pipelines from multiple sources to raw data storage (e.g., S3) using micro-batch, batch, and streaming processesOversee and improve the implementation of data quality checks, logging, and monitoring frameworks for reliable pipeline operationsGuide and monitor the transformation of raw data into data products by applying complex business logic and requirementsManage and ensure optimal functionality of multiple data feeds to external systems using micro-batch and streaming patternsEvaluate, recommend, and propose advancements to the team’s data platform architecture to improve scalability and align with business goalsEnsure high availability, performance optimization, and reliability of large-scale distributed data systemsCollaborate with cross-functional teams to deploy and operationalize pipelines, while ensuring seamless integration of data solutions into production environmentsMentor and provide technical guidance to data engineers, fostering a collaborative and innovative work environmentProactively track emerging technologies and industry developments, introducing innovative solutions to enhance team capabilitiesLead efforts in establishing data governance practices and ensuring compliance with all regulatory and privacy standards Requirements 5+ years of experience as a data engineer, preferably in consumer finance or similar industries involving consumer loans, collections, servicing, optional products, or insurance sales1+ years of relevant leadership experienceProven ability to lead and mentor engineering teams, cultivating growth and technical excellenceAdvanced background in math, statistics, computer science, data science, or a related disciplineExpert-level programming skills in one or more languages such as Snowflake, Java, Scala, Python, or C#Extensive production experience with technologies such as HDFS, YARN, Hive, Spark, Kafka, Oozie/Airflow, and containerization tools like Docker/KubernetesAdvanced proficiency in data mining and programming tools (e.g., SAS, SQL, R, Python) and database systems including PostgreSQL, Redshift, Snowflake, or GreenplumStrong expertise in business intelligence and analytical tools, technologies, and techniques for generating actionable data insightsDemonstrated history of deploying, managing, and automating scalable data pipelines on cloud platforms, including AWS, with storage and processing toolsAbility to quickly learn, adapt, and integrate emerging tools and technologies into existing workflowsExceptional communication skills, with a strong ability to explain technical concepts and solutions to both technical and non-technical stakeholdersDeep understanding of performance optimization for large-scale distributed systems and Big Data infrastructuresFluency in English, with a proficiency level of B2+ or higher Nice to have AWS certification validating advanced expertise in cloud technologiesPractical experience with Spark Streaming, Kafka Streaming, or Kafka Connect for real-time, high-throughput data processingHands-on expertise with the ELK Stack (Elasticsearch, Logstash, Kibana) for powerful monitoring and analytics solutionsFamiliarity with NoSQL databases like Cassandra or MongoDB for scalable, non-relational data storageExperience with CI/CD tools such as Jenkins or GitLab, along with tools like Jira and Confluence for effective project management and collaboration We offer International projects with top brandsWork with global teams of highly skilled, diverse peersHealthcare benefitsEmployee financial programsPaid time off and sick leaveUpskilling, reskilling and certification coursesUnlimited access to the LinkedIn Learning library and 22,000+ coursesGlobal career opportunitiesVolunteer and community involvement opportunitiesEPAM Employee GroupsAward-winning culture recognized by Glassdoor, Newsweek and LinkedIn

Join our remote team as a Senior Data Software Engineer within a global leader in providing solutions for complex data needs. We are currently looking for an individual who can work closely with the architects, technical leads, and other key individuals within our functional groups to design, develop and implement reusable DataBricks components for data ingestion and analytics. As a Senior Data Software Engineer, you will be responsible for ensuring that data is ingested via batch, streaming, or replication into a data lake, establishing security controls, and ensuring integration with data governance. You will also be responsible for building collaborative partnerships with stakeholders to ensure that the data is available for reporting and predictive modeling. Responsibilities Design and develop reusable DataBricks components for data ingestion and analyticsCollaborate with architects, technical leads, and other key individuals within our functional groups to deliver customer-centric solutions.Establish security controls and ensure integration with data governance to achieve clear auditable data lineageParticipate in code review and test solutions to ensure they meet best practice specificationsWrite project documentation for all phases of the software development lifecycleCreate and maintain technical documentation for the data ingestion pipelines, Data Warehouse or Database architectureWork with stakeholders to ensure data availability for reporting and predictive modelingEnsure continuous improvement by staying abreast of industry trends and emerging technologiesDrive the implementation of solutions aligned with business objectives.Mentor and guide less experienced team members, helping them enhance their skills and grow their careersCollaborate with cross-functional teams to achieve project goals Requirements 3+ years of experience in building data ingestion pipelines, Data Warehouse or Database architectureExpertise in Python and PySpark for data processing and analysisExperience with DataBricks for building scalable and high-performance applicationsHands-on experience with SQL Azure for designing and managing database schema, including procedures, triggers, and viewsExperience with Microsoft Azure for designing, deploying and administering scalable, available and fault-tolerant systemsFamiliarity with data modeling and modern Big Data componentsExperience with ADLS, Power BI, Azure Synapse Analytics for cloud-based infrastructure and application managementFamiliarity with compliance awareness such as PI, GDPR, HIPAAExcellent communication skills in spoken and written English, at an upper-intermediate level or higher Nice to have Experience with other Cloud platforms such as AWS and GCP is a plus We offer International projects with top brandsWork with global teams of highly skilled, diverse peersHealthcare benefitsEmployee financial programsPaid time off and sick leaveUpskilling, reskilling and certification coursesUnlimited access to the LinkedIn Learning library and 22,000+ coursesGlobal career opportunitiesVolunteer and community involvement opportunitiesEPAM Employee GroupsAward-winning culture recognized by Glassdoor, Newsweek and LinkedIn

Join our remote team as a Senior Data Software Engineer within a company that specializes in analytical development and data engineering. We are actively seeking a hands-on and deeply technical engineer to collaborate closely with development peers, product leadership, and other technical staff to create innovative and impactful solutions. This role offers an opportunity to contribute significantly to the design, development, and optimization of features in a dynamic development environment. Responsibilities Design and develop data pipelines using Databricks workflows and APIs such as S3, PBI, REST, etcEnsure high-quality standards at every stage of development and deploymentGuarantee reliability, availability, performance, and scalability of systemsCollaborate with Developers, Product and Program Management, and senior technical staff to deliver customer-centric solutions.Provide technical input for new feature requirements, partnering with business owners and architectsEnsure continuous improvement by staying abreast of industry trends and emerging technologiesDrive the implementation of solutions aligned with business objectives.Mentor and guide less experienced team members, helping them enhance their skills and grow their careersParticipate in code reviews, ensuring code quality and adherence to standardsCollaborate with cross-functional teams to achieve project goalsActively contribute to architectural and technical discussions Requirements At least 3 years of production experience in data software engineeringBe hands-on with deep expertise in building data pipelines using SQL and one or more languages from Python, Spark, PySparkExperience with Databricks and Microsoft Azure for building and deploying data solutionsExpertise in developing end-to-end production solutions with a focus on cloud platforms, with a strong preference for AzureExperience with Git, Azure DevOps, or GitHub for version control and collaborationAbility to tie loose ends together for solutions across systems, ensuring reliability, availability, performance, and scalability of systemsExcellent communication skills in spoken and written English, at an upper-intermediate level or higher Nice to have Experience with Azure DevOps and GitHub for version control and collaborationExperience with other cloud platforms such as GCP and AWS We offer International projects with top brandsWork with global teams of highly skilled, diverse peersHealthcare benefitsEmployee financial programsPaid time off and sick leaveUpskilling, reskilling and certification coursesUnlimited access to the LinkedIn Learning library and 22,000+ coursesGlobal career opportunitiesVolunteer and community involvement opportunitiesEPAM Employee GroupsAward-winning culture recognized by Glassdoor, Newsweek and LinkedIn

Join our remote team as a Senior Data Software Engineer within a fast-paced and innovative company, focusing on cutting-edge technologies for data-driven applications. We are seeking a highly motivated and experienced engineer to work on development and deployment of data solutions. You will work closely with cross-functional teams to design, implement, and optimize data processing systems. This role offers an opportunity to make a significant impact on the company's growth, working with the latest technologies and contributing to the development of complex and scalable systems. Responsibilities Design, develop and deploy data solutions for various business needsCollaborate with cross-functional teams to identify and address data-related challengesDevelop and maintain data pipelines for data processing and analysisEnsure the quality, reliability, and scalability of data systemsDevelop data models and schemas for efficient data storage and retrievalPerform data analysis and provide insights to support business decisionsDevelop and maintain documentation for data systems and processesPerform code reviews and provide feedback to improve code quality and maintainabilityStay up-to-date with the latest technologies and trends in data engineering and analytics Requirements At least 3 years of experience in Data Software engineering and developmentExpertise in one of the languages (Python, Spark, PySpark, SQL) with knowledge on how to build both within dev and enabling deployment to productionProficient in SQL for data manipulation and analysisExperience working on one or more cloud platforms (Azure, GCP, AWS). Strong preference for AzureExpertise in Databricks for data processing and analyticsExperience with Azure DevOps, GitHub, (or others) and version control for code managementExperience with developing end-to-end production solutionsStrong problem-solving skills with the ability to debug complex issuesExperience with data engineering and analytical developmentExcellent communication skills in spoken and written English, at an upper-intermediate level or higher Nice to have Experience with RESTful APIs and integration with external systemsExperience with machine learning and data scienceExperience with CI/CD tools such as Jenkins for automated deploymentExperience with data visualization tools such as Power BI or Tableau We offer International projects with top brandsWork with global teams of highly skilled, diverse peersHealthcare benefitsEmployee financial programsPaid time off and sick leaveUpskilling, reskilling and certification coursesUnlimited access to the LinkedIn Learning library and 22,000+ coursesGlobal career opportunitiesVolunteer and community involvement opportunitiesEPAM Employee GroupsAward-winning culture recognized by Glassdoor, Newsweek and LinkedIn

Join our remote team as a Senior Data Software Engineer within a global leader in providing cutting-edge cloud-based solutions. We are actively seeking a hands-on and deeply technical developer to collaborate closely with development peers, product leadership, and other technical staff to create innovative and impactful solutions. This role offers an opportunity to contribute significantly to the design, development, and optimization of features in a dynamic Agile development environment, using technologies such as Python, PySpark, Microsoft Azure, SQL Azure, and Databricks. Responsibilities Setting up required Azure servicesBuilding and deploying POC for replacement of the external vendor inside of the infrastructureExtracting data from data lake (EDL)Processing data based on application requirements & architectureMimicking current existing applicationPrioritizing and ensuring high-quality standards at every stage of developmentGuaranteeing reliability, availability, performance, and scalability of systemsCollaborating with Developers, Product and Program Management, and senior technical staff to deliver customer-centric solutions.Providing technical input for new feature requirements, partnering with business owners and architectsEnsuring continuous improvement by staying abreast of industry trends and emerging technologiesActively contributing to architectural and technical discussions Requirements At least 3+ years of production experience in Data Software EngineeringBe hands-on with deep expertise in Data Engineering, in both functional and non-functional areasDeep expertise in PySpark for building scalable and high-performance data applicationsExperience with Microsoft Azure for cloud-based infrastructure and application managementFamiliarity with SQL Azure for designing and managing database schema, including procedures, triggers, and viewsExposure to Databricks for creating unified data analytics platformsKnowledge of Python web services such as Django and Flask for building efficient APIs and web solutionsSupport applications and systems in a production environment, ensuring timely resolution of issuesExpertise in build and test tools for managing build and testing processesExcellent communication skills in spoken and written English at an Upper-intermediate level or higher Nice to have Experience in Big Data technologies such as Hadoop, Spark, Kafka, and Hive is a plus We offer International projects with top brandsWork with global teams of highly skilled, diverse peersHealthcare benefitsEmployee financial programsPaid time off and sick leaveUpskilling, reskilling and certification coursesUnlimited access to the LinkedIn Learning library and 22,000+ coursesGlobal career opportunitiesVolunteer and community involvement opportunitiesEPAM Employee GroupsAward-winning culture recognized by Glassdoor, Newsweek and LinkedIn

Join our remote team as a Senior Data Software Engineer within a global leader in building Enterprise Data Platform and Data Products on top. We are currently seeking a talented and experienced developer to work on a cutting-edge project involving the design, development, and implementation of high-performance data solutions. You will have the opportunity to collaborate with other experts in the field, and work with the latest tools and technologies to build innovative solutions that will impact businesses worldwide. Responsibilities Design, develop and maintain data processing pipelines and data products to support business needs and objectivesCollaborate with cross-functional teams to ensure high-quality deliverablesProvide technical leadership and guidance to other developers in the teamParticipate in code review and ensure code quality and adherence to standardsWork with stakeholders to define requirements and develop solutions that meet their needsDevelop, test and deploy scalable and performant data solutionsEnsure the reliability, availability, and scalability of data systemsStay up-to-date with the latest Big Data technologies and trends and apply them to solve business problemsDrive continuous improvement and optimization of data processing pipelines Requirements At least 3+ years of experience in building Data Platform Successful implementations of Big Data high-performance solutionsExpertise in Python and Databricks for developing and implementing data solutionsExperience with Microsoft Azure Big Data Services for data processing and storageExperience with Event-driven architecture for building scalable and high-performance applicationsSolid knowledge of Data Architecture and Data ModelingFamiliarity with Agile methodologies for software developmentExcellent communication skills in spoken and written English, at an upper-intermediate level or higher Nice to have Experience with Machine Learning and AI technologiesExperience with Spark and HadoopExperience with NoSQL databases We offer International projects with top brandsWork with global teams of highly skilled, diverse peersHealthcare benefitsEmployee financial programsPaid time off and sick leaveUpskilling, reskilling and certification coursesUnlimited access to the LinkedIn Learning library and 22,000+ coursesGlobal career opportunitiesVolunteer and community involvement opportunitiesEPAM Employee GroupsAward-winning culture recognized by Glassdoor, Newsweek and LinkedIn

Join our Security Operations team as a Senior Vulnerability Management Engineer, focused on developing a robust Vulnerability Management program to proactively identify and remediate security vulnerabilities across our technology landscape.

We are seeking a highly skilled remote Senior Data DevOps Engineer to join our team, working on a cutting-edge project that involves the development and deployment of large-scale data processing pipelines. In this position, you will play a critical role in designing, implementing, and maintaining the infrastructure that enables data processing, storage, and analysis. You will work with a team of experienced professionals, tackling complex challenges and driving innovation in the field of data engineering. If you are passionate about DevOps and have a solid understanding of data processing technologies, we invite you to apply for this exciting opportunity. Responsibilities Design, implement, and maintain data processing pipelines using technologiesDevelop and maintain CI/CD pipelines for data processing applications, ensuring efficient and reliable deploymentImplement and manage containerization technologies to enable scalable and flexible infrastructureCollaborate with data scientists and analysts to design and implement data storage and retrieval solutionsEnsure the security and availability of data processing infrastructure, implementing best practices for data protection and disaster recoveryMonitor and troubleshoot data processing pipelines and infrastructure, identifying and resolving issues in a timely mannerContinuously improve data processing infrastructure, staying up-to-date with the latest technologies and industry trends Requirements A minimum of 3 years of experience in DevOps, with a focus on data engineering and infrastructure managementExpertise in CI/CD processes and tools, including Git, Jenkins, and TeamCityHands-on experience with containerization technologies such as Docker and Kubernetes, as well as container orchestration tools like Amazon ECS or KubernetesIn-depth knowledge of Amazon Web Services (AWS), including EC2, S3, and LambdaStrong proficiency in Linux system administration and shell scriptingExperience with infrastructure as code tools such as Terraform, Ansible, or CloudFormationFamiliarity with the Elastic Stack (Elasticsearch, Logstash, and Kibana) for log management and analysisExcellent communication and collaboration skills, with the ability to work effectively in a team environmentFluent spoken and written English at an Upper-Intermediate level or higher (B2+) Nice to have Experience with other cloud providers such as Google Cloud Platform or Microsoft AzureExperience with Big Data technologies such as Hadoop, Hive, and PigFamiliarity with configuration management tools such as Chef or PuppetKnowledge of scripting languages such as Python or Ruby We offer International projects with top brandsWork with global teams of highly skilled, diverse peersHealthcare benefitsEmployee financial programsPaid time off and sick leaveUpskilling, reskilling and certification coursesUnlimited access to the LinkedIn Learning library and 22,000+ coursesGlobal career opportunitiesVolunteer and community involvement opportunitiesEPAM Employee GroupsAward-winning culture recognized by Glassdoor, Newsweek and LinkedIn

We are in search of a highly proficient Lead Data Software Engineer to join our remote team, contributing essential support to our Data Science units. As a pivotal team member, your role involves constructing datamarts, crafting REST APIs, and offering on-call assistance for spontaneous requests. Your contribution will be instrumental in propelling the triumph of our initiatives, concentrated on furnishing cutting-edge solutions for our clientele within the healthcare domain. Responsibilities Guide and nurture the Data Software Engineering team, instilling a culture of continuous learning and advancement within the unitCoordinate with multifaceted teams to furnish top-notch software solutions aligning with project objectives and schedulesEstablish and manage datamarts, ensuring streamlined and scalable data administrationFabricate REST APIs, facilitating seamless incorporation with diverse applications and systemsExtend on-call support for impromptu requests, guaranteeing prompt issue resolutionDevise and execute data pipelines using Apache Airflow and Apache SparkCollaborate intimately with Data Science teams, delivering technical support and directionEnsure the execution and sustenance of CI/CD pipelines to ensure the efficient rollout of application releasesPersistently assess industry trends and optimal practices, refining and implementing highly effective software engineering approachesEngage with stakeholders, showcasing exemplary communication and leadership proficiencies Requirements A minimum of 5 years' experience in Data Software Engineering, encompassing intricate infrastructures and expansive projectsDemonstrated leadership experience of at least 1 year, adept at overseeing and directing a team of Data Software EngineersProficiency in Amazon Web Services, adept at constructing and deploying scalable solutions in the cloud milieuRobust familiarity with Apache Airflow and Apache Spark for devising and scheduling data pipelinesStrong knowledge of Python and SQL for executing ETL and data manipulation assignmentsExperience with CI/CD pipelines to facilitate the streamlined deployment of application releasesSuperlative analytical and problem-solving acumen, enabling astute decision-making in intricate settingsHigh-level English language proficiency, ensuring lucid communication and collaboration with the team and stakeholders Nice to have Familiarity with Redshift and Databricks for data processing and analysis We offer International projects with top brandsWork with global teams of highly skilled, diverse peersHealthcare benefitsEmployee financial programsPaid time off and sick leaveUpskilling, reskilling and certification coursesUnlimited access to the LinkedIn Learning library and 22,000+ coursesGlobal career opportunitiesVolunteer and community involvement opportunitiesEPAM Employee GroupsAward-winning culture recognized by Glassdoor, Newsweek and LinkedIn

Join our remote team as a Senior Data Software Engineer and play a critical role in building and integrating data solutions. You will work closely with the data science team to take their models and make them production-ready. The ideal candidate will be an expert in Apache Spark, Microsoft Azure, and Python, with experience in forecasting models, data science, and MLOps. You will be responsible for designing, building, and maintaining data pipelines, as well as integrating new data sources into the existing technology stack. Responsibilities Collaborate with data scientists and other technical staff to design and develop scalable, reliable, and efficient data pipelinesIntegrate new data sources into the existing technology stackWrite clean, maintainable, and well-documented codeEnsure the quality and accuracy of data by implementing data validation and monitoring processesDeploy, manage, and monitor machine learning models in productionWork with cross-functional teams to identify and resolve data-related issuesContribute to the development of best practices and standards for data engineeringImplement efficient data storage and retrieval mechanismsMaintain and optimize existing data pipelines for maximum performance and scalabilityProvide technical guidance and mentorship to junior team members Requirements 3+ years of experience in Data Software Engineering or related rolesExpertise in Apache Spark and Databricks for building scalable and high-performance data pipelinesDeep knowledge of Microsoft Azure for developing and deploying cloud-based solutionsStrong proficiency in Python for data analysis, modeling, and manipulationExperience in forecasting models and statistical models for predicting future trendsFamiliarity with Git for version control and collaborationKnowledge of MLOps for deploying, managing, and monitoring machine learning models in productionAbility to work with complex data structures and large datasetsExcellent communication skills in spoken and written English, at an upper-intermediate level or higher Nice to have Experience with Panda for data manipulation and analysisKnowledge of SQL and relational tablesUnderstanding of ML models and their practical applications We offer International projects with top brandsWork with global teams of highly skilled, diverse peersHealthcare benefitsEmployee financial programsPaid time off and sick leaveUpskilling, reskilling and certification coursesUnlimited access to the LinkedIn Learning library and 22,000+ coursesGlobal career opportunitiesVolunteer and community involvement opportunitiesEPAM Employee GroupsAward-winning culture recognized by Glassdoor, Newsweek and LinkedIn

Join our team as a Lead Cybersecurity Engineer , where you will take a pivotal role in advancing our security operations and shaping our overall security strategy. You will act as an efficient problem solver, identifying vulnerabilities and implementing effective solutions while collaborating closely with technical and business teams to embed security best practices seamlessly. Eager to make a difference? Apply now. Responsibilities Design and deploy security infrastructure emphasizing AWS and cloud-native security toolsBuild and improve security tools and workflows using Terraform, CloudFormation, and programming languages such as Bash and PythonIdentify and evaluate potential cyber threats and address areas of vulnerabilityObserve and assess data from security tools, offering actionable recommendations and detailed reportingPartner with engineering teams to fortify development environments and review product security measuresCollaborate with cyber analysts and security engineers to design threat models, detections, response playbooks, and maintain tools for enhanced security intelligenceTake part in developing and operating enterprise-level security systems, including SIEM, HIDS/NIDS, PKI, IAM, Privileged Access Management, and moreMaintain and improve Crowdstrike EDR systems and SOAR platforms for greater operational efficiencySecure containerized environments, such as Kubernetes, and address related vulnerabilities Requirements 5+ years of experience in a cybersecurity role with hands-on expertise in AWSExpertise in scripting languages including Bash and PythonProficiency in Terraform and CloudFormationKnowledge of enterprise-scale security technologies such as SIEM, vulnerability management, incident response, HIDS/NIDS, PKI, SSO, IAM, and Privileged Access ManagementExperience with Crowdstrike or other EDR tools like Carbon Black, Tanium, OSQueryFamiliarity with SOAR platforms and automation tools for incident response workflowsHands-on experience with container technologies like Kubernetes and their security toolsAbility to identify security gaps and develop effective remediation plansStrong cross-functional collaboration skills to work between technical and business teams Nice to have Certifications such as CISSP, CEH, or Security+Experience in penetration testingKnowledge related to implementing compliance frameworks such as PCI DSS and SOX We offer International projects with top brandsWork with global teams of highly skilled, diverse peersHealthcare benefitsEmployee financial programsPaid time off and sick leaveUpskilling, reskilling and certification coursesUnlimited access to the LinkedIn Learning library and 22,000+ coursesGlobal career opportunitiesVolunteer and community involvement opportunitiesEPAM Employee GroupsAward-winning culture recognized by Glassdoor, Newsweek and LinkedIn

Join our dynamic team as a Lead Data Engineer , where you will contribute both independently and collaboratively to deliver top-tier data integration solutions. Your knowledge of investment financial data and expertise in agile methodologies will be key as you work with cross-functional teams to enhance our trading platform and reporting functionalities. If you are results-driven and ready to make a meaningful impact, we encourage you to apply. Responsibilities Collaborate with the Product Owner, Scrum Master, Subject Matter Experts, and Development team to define and analyze user stories tracked in JiraDefine, design, and implement software solutions using a modern technology stackShowcase solutions and explain business value to stakeholders during sprint showcasesWork in configuration activities to support data integration initiativesMaintain a balance between independent work and team collaboration as neededApply agile methodologies to deliver quality products iterativelyDrive improvements in data engineering processes and practices Requirements Bachelor’s degree in a technical discipline or equivalent industry experienceAt least 5 years of experience as a professional Data EngineerMore than 1 year of relevant leadership experienceExpertise in SQL, including creating views, stored procedures, and functionsBackground in data modeling with a focus on best practicesProficiency in Snowflake for data warehousing and analysisUnderstanding of data warehouse principles and architectureFamiliarity with AWS and its data-related servicesExperience in Python, particularly for ETL tasks using Pandas and NumPyCapability to implement and maintain CI/CD pipelines with tools like Bitbucket/GitHub and BambooFluency in English Nice to have Background in financial systems and reporting, focusing on investments accounting or general ledgerKnowledge of integrating large-scale ERP or financial investment systemsCompetency in delivering data solutions using AWS tools such as S3, Glue, Athena, and Lambda through agile methodologiesFamiliarity with business intelligence tools and reporting platformsSkills in agile practices, including story estimation and sprint planning We offer International projects with top brandsWork with global teams of highly skilled, diverse peersHealthcare benefitsEmployee financial programsPaid time off and sick leaveUpskilling, reskilling and certification coursesUnlimited access to the LinkedIn Learning library and 22,000+ coursesGlobal career opportunitiesVolunteer and community involvement opportunitiesEPAM Employee GroupsAward-winning culture recognized by Glassdoor, Newsweek and LinkedIn

We are seeking a Lead Data Engineer to join our team. This position combines engineering and analytical duties. You will develop and maintain data infrastructure while analyzing cost data, identifying trends, and collaborating with teams to optimize cloud expenses. Primarily focusing on AWS, this role demands a solid understanding of AWS services and cost structures. You will utilize tools such as Python, Databricks, Snowflake, Airflow, and Looker to provide impactful insights and solutions that enhance cost optimizations and support decision-making. Responsibilities Design, construct, and sustain scalable ETL pipelines to process and adjust large volumes of cloud cost and usage dataMerge data from various sources, including AWS, into centralized data repositories like SnowflakeCreate and uphold data models to aid cost analysis and reporting requirementsEnhance query output and storage effectiveness for vast datasetsAutomate repetitive data processing jobs and set up robust monitoring for data pipelinesGuarantee data precision and dependability via validation techniquesExamine cloud cost data to pinpoint trends, anomalies, and opportunities for optimizationEngage intimately with teams to review expenditure changes and address cost anomaliesCooperate with stakeholders to comprehend cost determinants and offer actionable insightsAssist teams in crafting dashboards and visualizations to monitor critical cost indicatorsCompile reports and presentations to convey findings and suggestions to leadershipCollaborate with teams to formulate strategies for cost reduction and operational enhancement Requirements Bachelor’s degree in Computer Science, Data Engineering, Data Analytics, or a related field5+ years of experience in data engineering, data analysis, or a combined role1+ years of relevant leadership experienceExpertise in AWS services (e.g., EC2, S3, RDS, Lambda) and their cost frameworksProficiency in SQL and skills in relational databases like Snowflake or RedshiftFamiliarity with Databricks and Spark for large-scale data processingHands-on experience with ETL tools and frameworks (e.g., Databricks, Apache Airflow)Programming experience in Python for data analysis and pipeline creationExperience with BI tools like Looker or Tableau for constructing dashboards and visualizationsExcellent problem-solving abilities and the capability to interpret and analyze vast datasets Nice to have Background in Kubernetes, Docker, or containerization technologyUnderstanding of cloud cost management tools and techniquesStrong communication capabilities for presenting insights to stakeholders and leadership We offer International projects with top brandsWork with global teams of highly skilled, diverse peersHealthcare benefitsEmployee financial programsPaid time off and sick leaveUpskilling, reskilling and certification coursesUnlimited access to the LinkedIn Learning library and 22,000+ coursesGlobal career opportunitiesVolunteer and community involvement opportunitiesEPAM Employee GroupsAward-winning culture recognized by Glassdoor, Newsweek and LinkedIn

Join our team as a Data DevOps Engineer , where you will play a crucial role in supporting the Ads Organization by ensuring the reliability and scalability of our data infrastructure. You will focus on upgrading systems, optimizing CI/CD pipelines, and collaborating with stakeholders to deliver robust solutions in a data-driven environment. We encourage you to apply and be part of this exciting journey. Responsibilities Manage and optimize workflows in Airflow, Spark, and Flink for efficient data processingDeploy and maintain cloud-native infrastructure using AWS, Kubernetes, and TerraformCollaborate with stakeholders to gather requirements and provide infrastructure updatesUpgrade, maintain, and troubleshoot data infrastructure to ensure high availability and performanceImprove CI/CD pipelines for seamless application deployment Requirements Experience in Data DevOps with 2+ years in the fieldProficiency in Amazon Web ServicesBackground in Apache AirflowSkills in KubernetesFamiliarity with TerraformFluent English communication skills at a B2+ level Nice to have Understanding of Apache FlinkKnowledge of Apache NiFiExperience with DatabricksFamiliarity with Datadog We offer International projects with top brandsWork with global teams of highly skilled, diverse peersHealthcare benefitsEmployee financial programsPaid time off and sick leaveUpskilling, reskilling and certification coursesUnlimited access to the LinkedIn Learning library and 22,000+ coursesGlobal career opportunitiesVolunteer and community involvement opportunitiesEPAM Employee GroupsAward-winning culture recognized by Glassdoor, Newsweek and LinkedIn

We are looking for a remote Senior Data Quality Engineer to join our team. The candidate should also have hands-on experience in data management, ETL, and data manipulation, as well as an understanding of Agile setups and cloud systems. In this position, you will be responsible for creating and executing test plans, developing scripts, entrance criteria, and exit criteria, and conducting functional and non-functional in-sprint testing, as well as regression testing based on the release cycle. Responsibilities Create and execute test plans Develop scripts, entrance criteria, exit criteria, and conduct functional and non-functional in-sprint testing Conduct regression testing based on a release cycle Follow formal QA methodologies Understand data structures and SQL Requirements At least 3 years of relevant experience in Data Quality EngineeringGood understanding of testing theory Hands-on experience in ETLHands-on experience in data management and data manipulation Understanding of Agile setups and cloud systems B2+ English level Nice to have Experience with MuleSoft We offer International projects with top brandsWork with global teams of highly skilled, diverse peersHealthcare benefitsEmployee financial programsPaid time off and sick leaveUpskilling, reskilling and certification coursesUnlimited access to the LinkedIn Learning library and 22,000+ coursesGlobal career opportunitiesVolunteer and community involvement opportunitiesEPAM Employee GroupsAward-winning culture recognized by Glassdoor, Newsweek and LinkedIn

Remote Senior Data Quality Engineer required to design and execute data testing procedures using GCP and either Java or Python. Key responsibilities include ensuring data accuracy, managing ETL quality assurance, and debugging data issues.

Remote Senior Data Quality Engineer needed to lead data quality implementation and ensure data accuracy, completeness, and consistency. Requires advanced experience in Big Data technologies and distributed computing principles.

Remote Senior Data Quality Engineer position available. Candidates should have a strong background in data quality engineering and experience with big data test cases using pySpark APIs.

Join our remote team as a Chief Data Engineer, leading innovative data solutions. Manage teams, design architecture, and tackle complex data challenges. Ideal candidates have a solid technical background and leadership experience.

Remote Senior Data Quality Engineer needed to ensure high-quality data delivery, validate reports, and improve data pipelines. Requires 3+ years of experience, SQL, and attention to detail.

Join our remote team as a Chief Data Engineer, leading the creation of innovative and scalable data solutions. Oversee technical teams and architectures while mentoring and driving projects that tackle complex data challenges.

Join our remote team as a Chief Data Engineer, where you'll lead the creation of scalable data solutions, manage technical teams, and drive innovative projects. We're looking for someone with a strong technical foundation, leadership experience, and a passion for mentorship.

Join our remote team as a Chief Data Engineer, leading scalable data solutions and overseeing technical teams. Ideal candidates will have strong leadership skills and a passion for innovation.

Join a remote team as a Chief Data Engineer, leading the design of scalable data solutions and mentoring technical teams. Ideal candidates have 7+ years of experience in data engineering with strong leadership skills.

Join as a Senior Data Integration Analyst to optimize our enterprise data warehouse, collaborating with stakeholders to ensure data integrity and resolve issues. Significant impact awaits those passionate about data analysis.

Lead Salesforce Administrator with Copado expertise sought for our Release Management team. Responsible for CI/CD automation, administrative tasks in Salesforce, and guiding teams through deployment. Proactive candidates encouraged to apply.

Join us as an Enterprise Data Specialist to lead data initiatives, shape data architecture, and collaborate with business and IT teams for robust data systems. If you're ready to make a difference in the data space, we encourage you to apply.

We are seeking a proactive and detail-oriented Support Engineer to join our Security Operations Centre (SOC) team. As a key member of the SOC, you will play a critical role in maintaining and enhancing the security of our on-prem and cloud infrastructure by identifying, mitigating, and preventing cyber threats. Responsibilities Work in a 24/7 environment with rotating shifts, including weekendsMonitor on-prem and cloud infrastructure for malicious activity, unauthorized access, and security anomaliesOversee identity and access management to detect any misuse of permissions or accountsCreate and implement SIEM and SOAR detection and remediation scenarios, as well as develop and refine playbooksPerform threat hunting activities to proactively identify vulnerabilities and suspicious patternsContribute to threat intelligence processes by analyzing and correlating threat dataProduce technical and non-technical reports for team members, leadership, and stakeholdersApply advanced analytic tools to evaluate and anticipate emerging threat patterns and vulnerabilitiesSupport additional security operation activities assigned by leadership Requirements 2+ years of experience in Security Engineering domainExpertise in Internet security, IDS/IPS, firewalls, and related technologies such as Anti-malware and Network Behavior Analysis toolsGood understanding of Windows, Linux, and database monitoring along with device logging techniquesCompetency in host and network security hardening, networking protocols, and common intrusion techniquesKnowledge of risk management concepts along with malware detection, intrusion detection, and prevention systemsHands-on experience with at least one SIEM platform such as Splunk, QRadar, ArcSight, LogRhythm, or ELKSkills in using SIRP/SOAR tools like PA XSOAR, TheHive, Cortex, Phantom, or ResilientFamiliarity with AWS services such as GuardDuty to strengthen cloud securityBackground in working with network security technologies like firewalls (F5, Juniper, Check Point, Palo Alto, Cisco) Nice to have Proficiency in automation/scripting tools such as Bash, PowerShell, and PythonShowcase of Linux and Microsoft Windows management expertise for security-related tasksUnderstanding of advanced network security principles and tools We offer International projects with top brandsWork with global teams of highly skilled, diverse peersHealthcare benefitsEmployee financial programsPaid time off and sick leaveUpskilling, reskilling and certification coursesUnlimited access to the LinkedIn Learning library and 22,000+ coursesGlobal career opportunitiesVolunteer and community involvement opportunitiesEPAM Employee GroupsAward-winning culture recognized by Glassdoor, Newsweek and LinkedIn

We are looking for a talented Senior Salesforce Business Analyst to create impactful solutions by connecting business needs with technical implementations. The ideal candidate will aim to deliver outstanding outcomes for Customer Portals through the effective use of Salesforce products. Responsibilities Collect and document business requirements that align with Salesforce solution capabilitiesDefine project goals in collaboration with stakeholders to ensure they meet business objectivesTranslate business needs into functional specifications and develop workflowsAlign closely with development teams to monitor implementation of Experience Cloud solutionsFacilitate workshops to gather input and insights from end-users and stakeholdersManage milestones, risks, and deliverables to achieve timely project completionAdvocate for user-focused design and functionality within the Salesforce ecosystemConduct thorough testing and validations to ensure solutions meet requirementsMonitor performance and enhance solutions post-implementationTrain and support internal teams and end-users on Salesforce usage Requirements Minimum of 3 years’ experience in a Business Analyst role, specifically within Salesforce projectsFamiliarity with Experience Cloud and its alignment with business processesKnowledge of integration standards to ensure smooth multi-platform data exchangesEnglish proficiency at C1 levelStrong analytical skillsExcellent communication and problem-solving abilities Nice to have Background in Sales/Service CloudCapability to work flexibly with a range of Salesforce productsUnderstanding of Customer Portals and their application in industry-specific CRM solutions We offer International projects with top brandsWork with global teams of highly skilled, diverse peersHealthcare benefitsEmployee financial programsPaid time off and sick leaveUpskilling, reskilling and certification coursesUnlimited access to the LinkedIn Learning library and 22,000+ coursesGlobal career opportunitiesVolunteer and community involvement opportunitiesEPAM Employee GroupsAward-winning culture recognized by Glassdoor, Newsweek and LinkedIn

We are seeking a Data Technology Consultant to join our remote team and play a key role in driving data-driven solutions for our clients. This position offers the opportunity to work at the intersection of business and technology, helping organizations leverage data to achieve measurable outcomes. If you are a strategic thinker with a passion for solving complex problems through data, this role is a great fit for you. Responsibilities Collaborate with stakeholders to understand business challenges and design data solutions that align with organizational objectivesDefine product goals, establish success metrics, and track progress to deliver measurable business valuePartner with technical teams, including Solution Architects and Data Engineers, to develop scalable and effective data solutionsLead client engagements and contribute to presales activities by showcasing expertise in data analytics and understanding client requirementsManage and prioritize the product backlog to ensure alignment with the roadmap and customer expectationsEvaluate data quality and availability, identifying gaps and opportunities for improvement within data governance processesStay updated on industry trends in data analytics and apply this knowledge to improve solutions and strategiesSupport data integration and processing initiatives to ensure clean, actionable data for decision-makingEffectively communicate data insights and strategies to technical and non-technical stakeholders to ensure alignment across teams Requirements At least 8 years of experience in IT as a Data Analytics Consultant, Data Product Manager, or a similar roleMinimum of 2 years of experience leading teams of 20 or more employeesExperience in at least 5 full-cycle projects or launching a product (or key product capability) to the marketStrong knowledge of data platforms and their applicationsProficiency in SQL and Python for coding and data analysisDemonstrated leadership and managerial experience in data-driven projectsExperience with cloud platforms such as AWS, Azure, or GCPDeep understanding of data architecture, data lifecycle, and designing data productsHands-on experience delivering data solutions, including data lakes, advanced analytics platforms, and reporting toolsStrong analytical skills with the ability to simplify complex problems and present actionable insightsAbility to collaborate with technical teams and business stakeholders to define and deliver impactful data solutionsProven ability to manage and deliver data projects focused on business value and measurable outcomesExcellent organizational skills with the ability to manage multiple priorities and projects effectivelyAdvanced English proficiency, both written and spoken, to facilitate communication and collaboration with clients and stakeholders Nice to have Project Management certificationExperience with data visualization tools and techniquesKnowledge of advanced data science and machine learning concepts We offer International projects with top brandsWork with global teams of highly skilled, diverse peersHealthcare benefitsEmployee financial programsPaid time off and sick leaveUpskilling, reskilling and certification coursesUnlimited access to the LinkedIn Learning library and 22,000+ coursesGlobal career opportunitiesVolunteer and community involvement opportunitiesEPAM Employee GroupsAward-winning culture recognized by Glassdoor, Newsweek and LinkedIn

We are looking for a Data Technology Consultant to join our remote team and take an active role in delivering innovative data solutions for our clients. This position provides the opportunity to work at the intersection of business and technology, helping organizations leverage data to drive measurable outcomes. If you are a strategic problem-solver with a passion for utilizing data to address complex challenges, this role is an excellent fit for you. Responsibilities Work with stakeholders to understand business challenges and create data-driven solutions aligned with organizational objectivesDefine product goals, establish success metrics, and track progress to ensure business value is achievedCollaborate with technical teams such as Solution Architects and Data Engineers to design scalable and effective data solutionsLead client engagements and support presales initiatives by showcasing expertise in data analytics and understanding client needsManage and prioritize product backlogs to align with roadmaps and meet customer expectationsEvaluate data quality and availability, identifying gaps and recommending improvements in governance processesStay updated on industry trends in data analytics and apply insights to improve solutions and strategiesSupport data integration and processing efforts to ensure clean, actionable data for decision-makingEffectively communicate insights and strategies to technical and non-technical teams to ensure alignment across stakeholders Requirements At least 8 years of experience in IT as a Data Analytics Consultant, Data Product Manager, or similar consulting roleMinimum of 2 years of experience leading teams of 20 or more employeesProven participation in at least 5 full-cycle projects or experience launching a product (or key product capability) to marketStrong knowledge of data platforms and their applicationsProficiency in SQL and Python for coding and data analysisDemonstrated leadership and management experience in data-related projectsExperience with cloud technologies such as AWS, Azure, or GCPComprehensive understanding of data architecture, lifecycle, and product designHands-on experience delivering data solutions, including data lakes, analytics platforms, and reporting toolsStrong analytical skills to simplify complex problems and present actionable insightsAbility to collaborate with technical teams and business stakeholders to define and deliver impactful data solutionsProven ability to manage and deliver data projects focused on measurable business outcomesExcellent organizational skills with the ability to handle multiple priorities and projects simultaneouslyAdvanced English proficiency, both written and verbal, to enable effective communication with clients and stakeholders Nice to have Project Management certificationExperience working with data visualization tools and techniquesKnowledge of advanced data science concepts and machine learning methodologies We offer International projects with top brandsWork with global teams of highly skilled, diverse peersHealthcare benefitsEmployee financial programsPaid time off and sick leaveUpskilling, reskilling and certification coursesUnlimited access to the LinkedIn Learning library and 22,000+ coursesGlobal career opportunitiesVolunteer and community involvement opportunitiesEPAM Employee GroupsAward-winning culture recognized by Glassdoor, Newsweek and LinkedIn

We are seeking a highly skilled remote Senior Data Analyst to join our team. You will be responsible for working cross-functionally to support sales and creating and passing actionable insights to sales. You will also build and present insightful lead generation analytics and collaborate with product and business stakeholders to prioritize and deliver product insights. Responsibilities Work cross-functionally to support sales & client enablement to expand the lead generation initiatives, creating and passing actionable insights to salesCollaborate with product and business stakeholders to prioritize and deliver product insightsCreate and maintain a unified “source of truth” view that will provide consistent and easily accessible dataDesign and build Tableau reports that provide ongoing delivery of product usage and performance reports across client segments, product segments, strategic initiatives, salespeople, and teamsWork on various data management related tasks to ensure accurate and timely reporting Support the assessment of current internal intelligence; evaluate internal data sources for closing gaps, identify best practices evaluation; systematize analysisWork with databases and other internal data platforms to extract product usage and client information and analyze customer behaviorOngoing operational ad-hoc support of various AWT efforts, partnerships, and data reporting using a mix of SQL and Python Requirements A minimum of 3 years of experience in Data Analytics and Visualization, showcasing your expertise in data analysis and qualityProficiency in Salesforce Tableau, SQL, and Python, enabling you to extract product usage and client information and analyze customer behaviorExperience working cross-functionally with sales, product, and business stakeholders to deliver actionable insights and prioritize product initiativesStrong focus on teamwork and exceptional interpersonal skills, allowing you to collaborate effectively with cross-functional teamsAbility to work independently and manage stress effectively, maintaining a high level of performance even under pressureFluent spoken and written English at an Upper-Intermediate level or higher We offer International projects with top brandsWork with global teams of highly skilled, diverse peersHealthcare benefitsEmployee financial programsPaid time off and sick leaveUpskilling, reskilling and certification coursesUnlimited access to the LinkedIn Learning library and 22,000+ coursesGlobal career opportunitiesVolunteer and community involvement opportunitiesEPAM Employee GroupsAward-winning culture recognized by Glassdoor, Newsweek and LinkedIn

Currently, we are looking for a remote Senior Data Analyst with 3+ years of corporate data analysis experience in online analytics, and strong experience with SQL to join our team. The customer is an American luxury department store chain. The company originated as a shoe store and evolved into a full-line retailer with departments for clothing, footwear, handbags, jewelry, accessories, cosmetics, and fragrances. Responsibilities Collecting, analyzing and presenting data to improve decision making Discover impactful insights from data Communicate those insights in a way that builds confidence and enables decisions that drive business value Mine complex behavioral data and transform it into actionable information Apply common statistical methods, data modeling, and predictive analysis to answer strategic questions for the online business Use advanced data visualization techniques to communicate solutions to business stakeholders Requirements A quantitative degree in mathematics, statistics, computer science, engineering, or similar quantitative analytics discipline 3+ years of corporate data analysis experience in online analytics (online retail a plus)Strong experience with SQL Familiarity with an analytic scripting language such as R or Python preferred Experience with BI Tools like Tableau, Mode, Looker preferred Should have a high degree of curiosity about the business and the skills to discover impactful insights from data Good verbal and written communication skills, ability to convey results to non-experts Strong English both written and verbal (B2+) We offer International projects with top brandsWork with global teams of highly skilled, diverse peersHealthcare benefitsEmployee financial programsPaid time off and sick leaveUpskilling, reskilling and certification coursesUnlimited access to the LinkedIn Learning library and 22,000+ coursesGlobal career opportunitiesVolunteer and community involvement opportunitiesEPAM Employee GroupsAward-winning culture recognized by Glassdoor, Newsweek and LinkedIn

We are currently looking for a remote Senior Business Intelligence Analyst with hands-on Tableau experience to join our team. The customer is an American online social media and social networking service. Responsibilities Lead stakeholder interviews, mockups and requirements definition workshopsPrepare tactical roadmap itemsDesign mockups of data productsManage surveys if neededConduct assessments of existing data productsWork with development team – support build, answer questions, help with assessment of problemsSupport prioritization flow to make a relevant backlog Requirements Knowledge of summarizing and aggregating business needs and challenges on BU levelRelevant experience with BI/analytics design/implementation projectsClear understanding of data analytic tools, ETL tools, SQL and backend technologiesHands-on experience with TableauGood client-facing communication and presentation skillsEnglish B2+ We offer International projects with top brandsWork with global teams of highly skilled, diverse peersHealthcare benefitsEmployee financial programsPaid time off and sick leaveUpskilling, reskilling and certification coursesUnlimited access to the LinkedIn Learning library and 22,000+ coursesGlobal career opportunitiesVolunteer and community involvement opportunitiesEPAM Employee GroupsAward-winning culture recognized by Glassdoor, Newsweek and LinkedIn

Lead Salesforce Service/Health Cloud Developer position available to enhance Salesforce capabilities in healthcare. Ideal for innovative professionals with extensive Salesforce experience, particularly in Health Cloud and development.

Join our remote team as a Chief Data Engineer, leading technical teams to deliver scalable data solutions. Ideal candidates will have strong leadership skills and a passion for innovation.