Central Business Solutions
Databricks Admin
Skills
1 year ago
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Important information
Contract type:
Permanent
Location:
Bengaluru, Karnataka, India
Work mode:
Onsite
Published on:
14 October 2026
What they need
Job highlights
- Cloud experience . Below are the general responsibilities. Hadoop / Databricks Operations is part of the Hadoop Support team
Databricks platform (not as a data engineer, but as a Databricks platform administrator)
Cloud experience
Below are the general responsibilities.
- Hadoop/Databricks Operations is part of the Hadoop Support team. This team is responsible for managing the Hadoop/Databricks plant across the system.
- Working within an Agile delivery (Scrum/Kanban/Scrumban)/ DevOps methodology. Support the application development teams and help them in debugging and fixing an issue.
- Configure, deploy and maintain Databricks clusters and workspaces.
- Use Terraform to provision and deploy Databricks clusters, workspaces, and associated AWS resources.
- Ensure consistency and repeatability by treating infrastructure as code
- Monitor cluster performance, resource utilization, and troubleshoot issues to ensure optimal performance.
- Implement and manage access controls and security policies to protect sensitive data.
- Manage platform feature and software releases and updates.
- Provide technical support to Databricks users, including troubleshooting and issue resolution.
- Conduct training sessions to educate users on platform best practices and capabilities.
- Optimize cluster configurations for performance and cost-effectiveness.
- Monitor and manage auto-scaling to ensure resources are allocated efficiently.
- Implement and enforce security policies, RBAC, access controls, and encryption mechanisms.
- Develop and maintain backup and disaster recovery strategies to ensure data integrity and availability.
- Collaborate with data engineers to integrate Databricks with other data sources, data warehouses, and data lakes.
- Monitor and manage platform costs, including optimizing resource utilization to control expenses.
- Collaborate with cross-functional teams, including data scientists, data engineers, and business analysts to understand their requirements and provide technical solutions
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