Fabric Analytics Engineer
Tasks
- Architect and implement end-to-end data solutions
- Build Lakehouse centered architectures
- Collaborate on data governance for lineage metadata and data quality
- Define and implement Fabric best practices for performance tuning and cost governance
- Design scalable data models and storage strategies
- Develop ingestion pipelines for batch real time streaming and API integrations
- Ensure insurance regulatory compliance
- Establish data security models with RBAC encryption and masking
- Evaluate Microsoft Fabric features and roadmap items
- Implement data governance and compliance in Fabric
- Integrate Fabric with Azure Active Directory Microsoft Purview and Power BI
- Monitor platform health and manage availability and resilience
- Optimize data pipelines for performance reliability and cost
- Provide architectural guidance and lead design reviews
- Translate business requirements into data solutions
Perks/Benefits
Skills/Tech-stack
API Integration | Active Directory | Azure | Azure Active Directory | Azure Synapse | Batch Processing | Canonical Data | Canonical Data Model | Data Factory | Data Governance | Data Ingestion | Data Model | Data Modeling | Data Pipelines | Data Quality | Data fabric | Data masking | Data mesh | Databricks | Dimensional Modeling | Encryption | Lakehouse | Metadata Management | Microsoft Fabric | Microsoft Purview | OneLake | Power BI | Python | RBAC | Real Time | Real-time Streaming | Real-time analytics | SQL | Semantic Model | Warehouse
Education
N/A
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