Senior Data Engineer (Python, AWS)

EPAM Systems; Deutschland; Remote; EUR 85.000 - 120.000; Vollzeit

Zusammenfassung

EPAM Systems is seeking a Senior Data Engineer (Python, AWS) to support the design, development, and enhancement of our client’s enterprise data platform. You will build and maintain Python-based ETL/ELT workflows, design data pipelines, and implement Medallion Architecture to empower analytics.

Strong SQL and AWS experience are required, with collaboration across teams. The ideal candidate will have 3+ years of hands-on data engineering experience, excellent communication, and familiarity with

Qualifikationen

• 3+ years hands-on data engineering experience.
• Strong Python programming skills with ETL/ELT pipelines.
• Solid SQL skills, including query optimization and data modeling.
• Hands-on experience with AWS cloud services.
• Experience integrating data from OLTP databases (PostgreSQL, MS SQL Server).
• Experience implementing Medallion Architecture (Bronze, Silver, Gold) or similar models.
• Excellent communication and collaboration skills.
• Nice to have: 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.

Aufgaben

• 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 Medallion Architecture to support analytics and downstream applications.
• Collaborate with application developers, business users, and data consumers to understand data requirements.

Kenntnisse

Python programming

SQL

ETL/ELT pipelines

Data modeling

AWS

Medallion Architecture

Communication

Collaboration

Orchestration tools

Tools

Airflow

Dagster

Prefect

dbt

CI/CD for data engineering

Jobbeschreibung

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.