escription and Location
4+ years in data operations, platform support or IT assurance roles.
•Working knowledge on data lake architecture and storage formats
•Understanding of data partitioning, schema evolution and reconciliation
•String proficiency in SQL for any Data quality checks verification
•Ability to write scripts for Data validation and verification during the migration
•Understanding of data governance principle, metadata management and regulatory principles
•Scripting and Automations skills (expertise in Spark, Hive using python)