AWS Databricks Engineer

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Job Description
  1. Design and implement end-to-end lifecycle of Databricks platform on AWS.
  2. Design and implement different environments like Dev/SIT/UAT/PROD for Databricks.
  3. Expertise in AWS
  4. Implement data access controls, Lineage and auditing using Unity catalog.
  5. Implement CI/CD pipelines between different environments.
  6. Hands-on architecture experience within AWS, Azure, or GCP environments.
  7. Deep expertise in Apache Spark, Delta Lake, SQL, and cluster resource management.
  8. Translate business requirements into technical blueprints, run proof-of-concepts (POCs), and guide engineering teams on best practices
  9. AI/ML Enablement, experience in setting up AI and Genie for Databricks.
  10. Experience with Delta lake house, Unity catalog, DBX notebooks, Python, Pyspark, Genie, Databricks Apps


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