Databricks Workspace Engineer

Roles : Databricks Admin

Location : Pan India

Experience : 5+ yrs

Notice Period : 0-60 days

Roles & Responsibilities :

• Workspace Management : Create and manage Databricks workspaces, ensuring proper configuration and access control.
• User & Identity Management : Administer user roles, permissions, and authentication mechanisms.
• Cluster Administration : Configure, monitor, and optimize Databricks clusters for efficient resource utilization.
• Security & Compliance : Implement security best practices, including data encryption, access policies, and compliance adherence.
• Performance Optimization : Troubleshoot and resolve performance issues related to Databricks workloads.
• Integration & Automation : Work with cloud platforms (AWS, Azure, GCP) to integrate Databricks with other services.
• Monitoring & Logging : Set up monitoring tools and analyze logs to ensure system health.
• Data Governance : Manage Unity Catalog and other governance tools for structured data access.
• Collaboration : Work closely with data engineers, analysts, and scientists to support their workflows.
• Qualifications : Proficiency in Python or Scala for scripting and automation.
• Knowledge of cloud platforms (AWS).
• Familiarity with Databricks Delta Lake and MLflow.
• Understanding of ETL processes and data warehousing concepts.
• Strong problem-solving and analytical skills.

Mandatory Skills Databricks Admin, Python, Scripting