Databricks Platform & Database Engineer
Tasks
- Administer Databricks workspaces on AWS
- Administer relational and non-relational databases
- Automate cluster lifecycle job scheduling and backups
- Build CI CD workflows for platform configuration and pipeline code
- Build end to end data workflows to downstream systems
- Create infrastructure-as-code with Terraform
- Design data ingestion into Databricks
- Diagnose query bottlenecks with Spark logs
- Enforce cluster policies and workspace hardening
- Implement encryption in transit and at rest
- Implement monitoring and alerting for jobs pipelines and databases
- Lead Databricks upgrades and migrations
- Lead incident response and author operational runbooks
- Manage Databricks audit logs and lineage
- Manage Unity Catalog objects and permissions
- Manage database provisioning patching backups replication and failover
- Optimize clusters and SQL warehouses
- Perform root cause analysis for production issues
Perks/Benefits
Skills/Tech-stack
AWS | AWS DMS | Access Control | Amazon Aurora | Amazon DynamoDB | Apache Spark | Auditing | Auto Loader | Backup Management | CI/CD | Database security | Databricks | Delta Lake | Encryption | Failover | Governance | Infrastructure as Code | Lineage | Logging | Monitoring | MySQL | PostgreSQL | Provisioning | PySpark | Python | Replication | S3 | SQL Server | SQL Warehouse | Terraform | Unity Catalog | “as-code”
Education
Bachelor of Arts | Bachelor of Engineering | Bachelor of Science
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