Fabric Data Engineer — Workplace Engineering
USD 119K-250K (estimate) Senior-level Full Time
Tasks
- Automate Dev Test Prod environment promotion
- Build cross cloud integration patterns
- Build data ingestion pipelines
- Build real time intelligence solutions
- Build telemetry and alerts for pipelines and refresh
- Define governance security standards
- Design scalable OneLake data storage
- Implement CI CD data platform workflows
- Implement RBAC RLS CLS OLS and data masking
- Integrate Microsoft Purview for sensitivity and lineage
- Operate Fabric capacity and monitor performance
- Optimize Lakehouse tables and Direct Lake datasets
- Publish governed AI ready data products
Perks/Benefits
- N/A
Skills/Tech-stack
Azure Data | Azure Data Factory | Azure DevOps | Azure REST API | Azure SQL | BI semantic models | Bicep | CI/CD | CLS | DLP | Data Factory | Data masking | Dataflows Gen2 | Delta Lake | Deployment Pipelines | Direct Lake | Dynamic data | Dynamic data masking | Entra ID | Eventhouse | Eventstreams | Fabric Deployment Pipelines | Fabric Git | Fabric deployment | GitHub | Identity Federation | KQL | Lakehouse | Microsoft Fabric | Microsoft Purview | OLS | Okta | OneLake | Power BI | Power BI Semantic Models | PySpark | RBAC | REST API | RLS | SQL | SQL Server | Semantic models | Service principals | Spark Structured Streaming | Structured Streaming | T-SQL | Terraform | Warehouse | Workload Identity | Workload Identity Federation
Education
Roles
Regions
Countries
States
Cities
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