Senior Data Engineer (Python, AWS)

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.