Data Platform & DevOps Engineer
Tasks
- Administer Databricks environments
- Automate deployments with Git based workflows
- Configure clusters and usage policies
- Ensure platform security standards
- Maintain deployment templates and practices
- Maintain operational documentation
- Manage data access controls and ownership
- Manage environment lifecycle
- Manage notebooks jobs clusters and SQL warehouses
- Manage user access roles and permissions
- Monitor platform usage and optimize costs
- Support CI CD for Databricks deployments
- Support Unity Catalog governance
- Support compliance and governance processes
- Support cost tracking and reporting
- Support identity provisioning
- Troubleshoot platform issues
Perks/Benefits
- Career development
- Collaborative environment
- Employee events
- Flexible working hours
- Mentorship and training programs
- Mobile working
- Recognition and support
Skills/Tech-stack
AWS IAM | Account Console | Active Directory | Amazon Web Services | Asset bundles | Azure | Azure Active Directory | Azure DevOps | Bash | CI/CD | Cloud platform | Databricks | Databricks (asset) | Databricks Asset Bundles | Databricks CLI | Databricks REST API | Databricks SQL | Git | GitHub Actions | GitLab CI | Google Cloud | Google Cloud Platform | Infrastructure as Code | Python | REST API | SQL Warehouses | Terraform | Unity Catalog | Web Services | “as-code”
Education
Roles
Data Platform | Data Platform Engineer | DevOps | DevOps Engineer | Engineer | Platform Engineer
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