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