Databricks Engineer
Tasks
- Apply RBAC ABAC encryption and auditability controls
- Apply data contracts
- Build batch incremental and event driven ingestion
- Contribute to engineering standards and design reviews
- Design data integration solutions
- Develop analytics ready models and semantic layers
- Implement data cataloging lineage and data quality controls
- Implement data ingestion, transformation, and orchestration
- Implement data modeling standards
- Maintain data integration frameworks
- Monitor and troubleshoot pipelines and workloads
- Optimize Databricks performance cost and storage layout
- Support platform modernization POCs and migrations
Perks/Benefits
- Health and wellness programs
- Medical plans
- Paid annual leave
- Retirement plans
- Tuition reimbursement
- Work from home option
Skills/Tech-stack
ABAC | ARM Templates | Azure Data | Azure Data Factory | Azure Data Lake | Azure Data Lake Storage | Azure Data Lake Storage Gen2 | Azure DevOps | Azure Event | Azure Event Hubs | Azure Functions | Azure Key Vault | Azure Synapse | Azure Synapse Analytics | Bicep | CI/CD | Data Factory | Data Governance | Data Lake Storage Gen2 | Data Quality | Data Vault | Databricks | Databricks Workflows | Delta Lake | Dimensional Modeling | Encryption | Event Hubs | Feature Store | Infrastructure as Code | Key Vault | Lakehouse | MLOps | MLflow | Power BI | PySpark | RBAC | SQL | Spark | Synapse Analytics | Terraform | Unity Catalog | “as-code”
Education
Bachelor of Engineering | Bachelor of Science | Bachelor of Science in Computer Science | Bachelor of Science in Information Technology
Roles
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