Senior Data Engineer: AWS + Databricks (PySpark)
Summary
The Senior Data Engineer will design, build, and optimize scalable data pipelines using AWS, Databricks, PySpark, and Delta Lake. The role focuses on delivering robust data solutions for large-scale datasets within a professional services environment.
eTeam Inc in Singapore is seeking a Data Engineer with AWS and Databricks expertise to design, build, and optimize scalable data pipelines. You will work with PySpark, Spark SQL, and Delta Lake to deliver robust data solutions for large-scale datasets.
Ideal candidates have 4–8 years of experience, strong SQL and data modeling skills, and familiarity with CI/CD and cloud-based best practices. This role is based in Singapore and offers opportunities to work with modern data platforms.