Senior Data Engineer (Snowflake, AWS)

EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.

• 3+ years of hands-on data engineering experience
• Strong Python programming skills with experience building ETL/ELT pipelines
• Solid SQL skills, including query optimization and data modeling
• Strong experience with Snowflake
• Experience integrating data from OLTP databases, including PostgreSQL and Microsoft SQL Server
• Experience implementing Medallion Architecture (Bronze, Silver, Gold) or similar layered data lake/lakehouse models
• Excellent communication and collaboration skills

Nice to have:

• Experience with orchestration tools such as Airflow, Dagster, or Prefect
• Experience with cloud platforms (AWS preferred)
• Familiarity with dbt or similar transformation frameworks
• Experience with CI/CD for data engineering workflows

• Build and maintain Python-based ETL/ELT workflows for data ingestion, transformation, and validation
• Design and develop data pipelines to ingest data from operational databases (PostgreSQL, Microsoft SQL Server, and other OLTP systems) into Snowflake
• Develop scalable and performant data models in Snowflake
• Implement and maintain Medallion Architecture (Bronze, Silver, Gold) data models to support analytics and downstream applications
• Collaborate with application developers, business users, and data consumers to understand data requirements