Senior Data Engineer (Snowflake, AWS)

We are looking for a Senior Data Engineer 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 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

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.
• 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