Description

Required Skills (Mandatory): Data Engineer, Python, Spark/PySpark, ETL, AWS Services: EMR, Athena, S3, AWS Glue.

Job Summary:

  • Minimum of 3-4 years project experience building optimized ETL pipelines
  • Minimum of 3 years building Spark ETL pipelines. Ability to design, develop, and optimize Spark ETL pipelines
  • Extensive experience with Python with familiarity with libraries and frameworks for data ingestion and transformation
  • Strong command of SQL, with experience writing complex queries, optimizing performance, and working with databases
  • Solid understanding and Experience with the following AWS Services: EMR, Athena, S3, AWS Glue
  • Experienced in building and managing Airflow DAGs.


 

Key Skills
Education

Any Graduate

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