Job highlights

- Also should be able to analyze data stored in Redshift datarwarehouse and Datalakes
- Must be very strong in Pyspark
- Must be able to implement all Standard and Complex ETL Transformations using Pyspark
- Good knowledge of SQL is a MUST
- DataLake Concepts and Performance Optimizations in DataLake
- DataWareHouse Concepts and Amazon Redshift.
- Athena and Redshift Spectrum .
- Strong Understanding of Glue Concepts , Glue Data catalogue . Experienced in Implementing END to END ETL solutions using AWS GLUE with variety of source and Target systems. 6 . Must be very strong in Pyspark. Must be able to implement all Standard and Complex ETL Transformations using Pyspark. Should be able to perform various performance Optimization techniques using Spark and Spark SQL.
- Good knowledge of SQL is a MUST.



SHould be able to implement all Standard Data Transformations using SQL. Also should be able to analyze data stored in Redshift datarwarehouse and Datalakes.
- Must have positive understanding of Athena and Redshift Spectrum.

- Understanding of RDS
- Understanding of DataBase Migration Service and experience in Migrating from Diverse databases.
- Understanding of writing Lambda functions and Layers for connecting to various services. Sr. Associate 5
- Understanding of Cloud Watch , Cliud Watch Events , Event bridge and also some orchestration tools in AWS like Step Functions and Apache Airflow.

📌 AWS (Mumbai)
🏢 Acme Services
📍 Mumbai