Requirements : Expert Data Engineer
- Hands-on experience with PySpark / Spark-SQL
- Hands-on with Spark, SQL optimization
- Deep understanding of DWH, Data modelling
- Decent understanding of any Cloud - Azure, Databricks, AWS
Skills : Data Engineering- Databricks, Azure, AWS, SQL, Python, PySpark.
Backend Data engineer with ability to code and create pipelines effectively in Python, Pyspark on Databricks.Basic experience in API development is required as well.