1. Should know how to develop, deploy , monitor and optimize Etl workflows for batch with Scala, Pyspark, Airflow, BQ , Dataproc and GCP environments
2. Experience in Medallion architecture with proper Data quality checks and summarization activities
3. Experience in performance optimizations, Observability and runbook creations for continuous optimizations.
4. Valuable knowledge of Airflow orchestrations including dependency handing, idempotent execution etc.
5. Exposure to data governance would be a plus
📌 Google data Engineer (Bengaluru)
🏢 Tata Consultancy Services
📍 Bengaluru
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