About the Role

In this position, you will be responsible for leading technical teams and designing system architectures while tackling complex data challenges.

Responsibilities

• Lead the design and implementation of scalable and efficient data architectures.
• Build and maintain data pipelines and workflows to ensure data quality and accessibility.
• Collaborate with stakeholders to define requirements and enable data-driven solutions.
• Provide technical guidance and mentorship to engineering teams.
• Optimize system performance to enhance scalability and reliability.
• Establish technical best practices and drive high-quality code delivery.
• Conduct code reviews and actively contribute to technical discussions.
• Support pre-sales efforts, client engagements, and special SWAT team activities.
• Promote knowledge sharing within teams and participate in meetups and technical talks.
• Stay updated on emerging technologies and integrate them into strategic solutions.

Requirements

• Degree in Engineering, Computer Science, or a related field.
• Over 7 years of experience as a Data Engineer.
• At least 2 years of leadership experience, including team management and project direction.
• Background in at least 2 full-cycle projects or multiple phases of development lifecycles.
• Proven hands-on expertise in coding and solving complex technical challenges.
• Proficiency in Python for data processing, analysis, and automation.
• Knowledge of Amazon Web Services (AWS) for cloud-based data solutions.
• Expertise in Databricks for big data analytics and machine learning workflows.
• Competency in system design and architecture, balancing high-level vision with detailed implementation.
• Demonstrated impact in technical contributions within projects and across organizations.
• Broad cross-disciplinary background in multiple technical domains and stacks.
• Mindset for mentoring and sharing expertise within teams and the larger community.
• Capability to innovate by utilizing new tools, frameworks, or methodologies.
• Flexibility to adapt to diverse programming languages, technical stacks, and domains as needed.
• Fluent communication skills in English at a B2 level or higher.

Nice to Have

• Background in real-time data processing and streaming technologies.
• Knowledge of advanced machine learning and AI frameworks.
• Familiarity with serverless computing solutions for data workflows.

We Offer

• International projects with top brands.
• Work with global teams of highly skilled, diverse peers.
• Healthcare benefits.
• Employee financial programs.
• Paid time off and sick leave.
• Upskilling, reskilling, and certification courses.
• Unlimited access to the LinkedIn Learning library and 22,000+ courses.
• Global career opportunities.
• Volunteer and community involvement opportunities.
• EPAM Employee Groups.
• Award-winning culture recognized by Glassdoor, Newsweek, and LinkedIn.