Cloud Engineer, Data Platforms
Tasks
- Build Azure Databricks workspaces clusters policies
- Configure Databricks supporting Azure services
- Diagnose and resolve platform network issues
- Ensure auditability and compliance controls
- Establish production readiness runbooks incident response release readiness
- Implement CI CD for Databricks and Azure resources
- Implement infrastructure-as-code
- Implement job orchestration
- Improve logging monitoring and cost controls
- Integrate identity and access controls
- Maintain backlog to unblock analytics delivery
- Manage least privilege access
- Manage secrets securely
- Operate Databricks platform
- Participate in agile standups and planning
- Perform workload performance tuning
- Support and harden ETL ELT pipelines
Perks/Benefits
- Accidental insurance
- Adoption leave
- Childcare support
- Education assistance program
- Emergency leave days
- Gratuity
- Home office setup support
- Leave entitlement
- Maternity leave
- Medical insurance
- Paternity leave
- Well-being support
Skills/Tech-stack
Apache Spark | Auditability | Automation | Azure | Azure Databricks | Azure DevOps | Azure Key Vault | Bicep | CI/CD | Cost Control | Databricks | Delta Lake | ELT | ETL | GitHub | Identity integration | Infrastructure as Code | Key Vault | Least Privilege | Logging | Managed Identities | Monitoring | Networking | Observability | Private Endpoint | Python | SQL | Secrets management | Terraform | VNet | “as-code”
Education
N/A
Roles
Cloud Engineer | Cloud) | Data Platform | Data Platform Engineer | Engineer | Platform Engineer
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