Job Description

Key Responsibilities

  • Administer and manage Databricks workspaces across Dev, QA, and Prod environments.
  • Configure clusters, manage auto-scaling, and optimize platform performance.
  • Implement and manage security including RBAC, IAM roles, and access controls.
  • Monitor system performance and troubleshoot Databricks platform issues.
  • Integrate Databricks with cloud platforms (Azure, AWS, GCP as applicable).
  • Handle CI/CD pipeline integration for Databricks deployments.
  • Support data engineering and analytics teams with environment setup and best practices.
  • Manage workspace governance, cost optimization, and resource utilization.
  • Implement backup, disaster recovery, and compliance standards.

Skills Required
Pyspark, Performance Tuning

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