Data Engineer

EPAM provides software engineering and IT consulting services globally.

• Develop extraction, transformation, validation, reconciliation, and loading logic in line with approved source-to-target mappings and ETL HLDs;
• Own the quality of ETL deliverables by designing, executing, and evidencing developer-led testing before QA involvement;
• Create and maintain automated unit tests, component tests, and data validation checks for ETL pipelines;
• Validate source-to-target mappings, transformation logic, reconciliation controls, and error-handling scenarios as part of development;
• Produce test evidence demonstrating that ETL code meets functional and non-functional requirements prior to promotion;
• Support dry runs and test migrations, investigate defects, perform root cause analysis, and implement fixes;
• Build ETL jobs that can be re-run safely with clear logging and error handling;
• Create and update supporting documentation such as runbooks and technical implementation notes;
• Actively participate in all scrum ceremonies;
• Contribute to the Three Amigos discussions for each ETL story to lock requirements and acceptance criteria early and avoid rework;
• Raise and manage technical dependencies early with the Delivery Manager.

• Have 5+ years of experience in data engineering;
• Bring background in operational data migration;
• Demonstrate expertise in ETL design and build, including migration orchestration;
• Show proficiency in SQL;
• Possess knowledge of Python and PySpark;
• Speak and write English fluently with a B2+ level;
• Nice to have: familiarity with Databricks, knowledge of PostgreSQL databases, experience with AWS S3 buckets, understanding of Apache Kafka, skills in Java APIs, REST, and SOAP, competency in ETL performance optimisation, proficiency in Jenkins and Git, experience with EIS, familiarity with Prometheus and Grafana, understanding of the insurance domain, specifically within the UK market.

• No conditions specified