Description

  1. 10+ years in Data & Analytics area.
  2. Hands on Data Management, Design and Development experience in Databricks and Spark
  3. Strong Programming language experience using Python / Pyspark notebooks, Spark SQL etc.
  4. Extensive knowledge of ETL and Data Warehousing concepts, strategies, methodologies.
  5. Good hands on experience with AWS, Azure cloud tech stack.
  6. Preferred AWS or Azure certification
  7. Strong understanding of Data Modeling and defining conceptual logical and physical data models.
  8. Hands on experience on Data Warehousing and SQL.

Education

Any Graduate