1. Spark, Scala, Airflow, HIVE, Kubernetes, Iceberg with excellent knowledge on docker, github actions; and
2. Azure Databricks related tech stack like ADLS, Jobs and Pipelines, ADF, Delta Lake, Lakeflow Connect, Unity Catalog, Compute - Classic & Serverless, etc.; and
3. Ability to use AI in SDLC and in Data engineering alike to deliver business innovation.
Note: Looking only 15 Days joners
📌 Data Engineer (Bengaluru)
🏢 Quess
📍 Bengaluru
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