Senior Data Engineer: AWS PySpark, ETL & Data Lake

EPAM Systems is looking for a Senior Data Engineer to lead the design and implementation of ETL pipelines using PySpark on AWS. The ideal candidate will have at least 3 years of experience in data engineering, proficiency in Python, and a strong understanding of data lake architectures.

Responsibilities include optimizing data workflows and integrating diverse data sources into AWS data lake environments. This position provides opportunities to work on international projects and collaborate with skilled peers.

We offer a competitive benefits package, including paid time off, financial programs, and professional development opportunities.