Databricks Platform Engineer (AWS)
Hyderabad, India
R
INR 1500K-3500K (estimate) Senior-level Full Time
Tasks
- Automate notebook job and workflow deployments
- Automate platform provisioning and configuration
- Collaborate with application data and business stakeholders
- Configure and manage AWS networking and security
- Design and deploy multi environment platforms
- Enable AI ML and GenAI platforms
- Enable migration onboarding and support for enterprise workloads
- Implement observability and operational monitoring
- Manage Unity Catalog and data governance
- Monitor usage patterns and optimize costs
- Provision and configure Databricks Accounts and Workspaces
- Troubleshoot infrastructure networking and security issues
Perks/Benefits
Skills/Tech-stack
AWS | AWS Cloud | AWS Cloud Database | Amazon Virtual Private Cloud | Asset bundles | Audit Logging | Auto Loader | Bitbucket | CI/CD | Cloud Database | Cloud Networking | CloudFormation | CloudWatch | Cluster policies | Cost Optimization | Databricks | Databricks (asset) | Databricks Asset Bundles | Databricks CLI | Databricks Workflows | Delta Lake | EC2 | ECS | Feature Store | Git | GitHub Actions | IAM | Jenkins | KMS | Lakehouse | Lambda | Lineage Tracking | MLflow | Model Serving | Mosaic AI | Observability | Private Cloud | Python | Query Language | RBAC | RDS | REST APIs | S3 | SQL Warehouses | Security controls | Structured Query | Structured Query Language | Structured Streaming | Terraform | TypeScript | Unity Catalog | Vector Search | Virtual Private Cloud
Education
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