Data Engineer

EPAM provides digital platform engineering and software development services, helping global enterprises design and build scalable, cloud-native data solutions.

• Mentor and lead a team of data integration and ETL engineers;
• Manage sprint planning, resource allocation, and risk management;
• Conduct code reviews and establish testing frameworks;
• Champion modern software development practices including CI/CD, Git, and modular design;
• Architect end-to-end data pipeline solutions using serverless or hybrid frameworks;
• Establish pipeline scheduling and workflow orchestration;
• Design, model, and maintain scalable corporate data systems;
• Implement modern ingestion patterns, CDC methods, and micro-batching;
• Collaborate with stakeholders to translate requirements into technical specifications;
• Present advanced technical architectures to C-level client executives.

• 5+ Years of experience in data management, database design, migration, and modeling;
• Demonstrated experience leading and mentoring teams of data engineers;
• Hands-on experience with ETL tools such as Talend, AWS Glue, Azure Data Factory, GCP Dataflow, or Apache NiFi;
• Strong experience with orchestration engines, particularly Apache Airflow;
• Production coding skills in SQL, Python, Scala, SparkSQL, or Bash;
• Extensive knowledge of at least one major cloud platform and big data warehousing engines;
• Understanding of cloud security structures and compliance standards;
• Ability to write high-quality technical design specifications and data lineage reports;
• Fluent English (B2+/C1 level);
• Nice to have: Experience architecting serverless cloud data pipelines, exposure to AI/ML integration, professional certifications in Cloud Architecture, Talend, or Airflow.

• No conditions specified