Senior Data Software Engineer

Sophia PRO
JobAdvisor

EPAM Systems

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

39 días
Expira 17/07/2025

Senior Data Software Engineer

Sophia PRO
JobAdvisor

EPAM Systems

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

39 días
Expira 17/07/2025

Lead Data Software Engineer

Sophia PRO
JobAdvisor

EPAM Systems

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

39 días
Expira 17/07/2025

Lead Data Software Engineer

Sophia PRO
JobAdvisor

EPAM Systems

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

39 días
Expira 17/07/2025

Senior Data Software Engineer

Sophia PRO
JobAdvisor

EPAM Systems

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

39 días
Expira 17/07/2025

Senior Data Software Engineer

Sophia PRO
JobAdvisor

EPAM Systems

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

39 días
Expira 17/07/2025

Lead Data Software Engineer

Sophia PRO
JobAdvisor

EPAM Systems

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

39 días
Expira 17/07/2025

Lead Data Software Engineer

Sophia PRO
JobAdvisor

EPAM Systems

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

39 días
Expira 17/07/2025

Senior Data Software Engineer

Sophia PRO
JobAdvisor

EPAM Systems

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

39 días
Expira 17/07/2025

Senior Data Software Engineer

Sophia PRO
JobAdvisor

EPAM Systems

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

39 días
Expira 17/07/2025

Senior Data Software Engineer

Sophia PRO
JobAdvisor

EPAM Systems

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

39 días
Expira 17/07/2025

Senior Data Software Engineer

Sophia PRO
JobAdvisor

EPAM Systems

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

39 días
Expira 17/07/2025

Senior Data Software Engineer

Sophia PRO
JobAdvisor

EPAM Systems

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

39 días
Expira 17/07/2025

Senior Data Software Engineer

Sophia PRO
JobAdvisor

EPAM Systems

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

39 días
Expira 17/07/2025

Senior Data Software Engineer

Sophia PRO
JobAdvisor

EPAM Systems

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

39 días
Expira 17/07/2025

Senior Data Software Engineer

Sophia PRO
JobAdvisor

EPAM Systems

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

39 días
Expira 17/07/2025