? Strong hands-on experience in Python programming and PySpark

? Experience using AWS services (RedShift, Glue, EMR, S3 & Lambda)

? Experience working with Apache Spark and Hadoop ecosystem.

? Experience in writing and optimizing SQL for data manipulations

? Good Exposure to scheduling tools. Airflow is preferable.

? Must Have Data Warehouse Experience with AWS Redshift or Hive

? Experience in implementing security measures for data protection.

? Expertise to build/test complex data pipelines for ETL processes (batch and near real time)

? Readable documentation of all the components being developed.

? Knowledge of Database technologies for OLTP and OLAP workloads