Must Have Technical/Functional Skills:
Must have implementation knowledge about different AWS services like: Glue, Lambda, Glue Workflow, SNS, AWS Step Functions, AWS S3, PostgreSQL.
Must have hand-on knowledge on PySpark/Python etc.

Roles & Responsibilities:
Strong knowledge about AWS Data Platform and must have experience of Data Lake, Data Warehouse implementation and migration in/to AWS cloud. 
Must have strong knowledge on implementing metadata driven re-usable data ingestion and ETL framework, DQ framework, ETL pipeline design, ETL orchestration etc.
Expertise in building high-performing, scalable, enterprise-grade Data Lake/ Data Warehouse.
Solution/technical architecture in AWS on Data Lake /Datawarehouse/Lakehouse.

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