We are looking for a Senior Data Engineer (Python, AWS) to support the design, development, and enhancement of our client’s enterprise data platform. The ideal candidate is a hands-on data engineer with strong experience building data pipelines, integrating data from operational databases, and working with modern cloud data warehouses.
Responsibilities
- Build and maintain Python-based ETL/ELT workflows for data ingestion, transformation, and validation.
- Design and develop data pipelines.
- Develop scalable and performant data models.
- 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.
Requirements
- 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.
- Hands-on experience with AWS cloud services and infrastructure.
- 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.
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Senior Data Engineer (Python, AWS) Arbeitgeber: EPAM Systems
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