Fabric Analytics Engineer
Tasks
- Architect and implement end to end data solutions using Microsoft Fabric
- Build Lakehouse centered architectures for analytics reporting and machine learning
- Collaborate on data standards lineage metadata and data quality
- Define and enforce Fabric best practices for tuning storage optimization and cost governance
- Design scalable data models and storage strategies
- Develop and manage ingestion pipelines for batch real time and API integrations
- Ensure insurance regulatory compliance and privacy requirements
- Establish data security models with RBAC encryption and masking
- Evaluate new Fabric features and recommend adoption
- Implement data governance and compliance in Fabric
- Integrate Fabric deployments with Azure AD and Microsoft Purview
- Lead design reviews and provide architectural guidance
- Monitor platform health and manage availability and resilience
- Optimize data pipelines for performance reliability and cost
Perks/Benefits
- N/A
Skills/Tech-stack
API Integration | Azure AD | Azure Synapse | Canonical Data | Canonical Data Model | Data Factory | Data Governance | Data Ingestion | Data Ingestion Pipelines | Data Model | Data Modeling | Data Quality | Data masking | Databricks | Dimensional Modeling | Encryption | Ingestion pipelines | Lakehouse | Metadata Management | Microsoft Fabric | Microsoft Purview | OneLake | Power BI | Python | RBAC | Real Time | Real-time analytics | SQL | Semantic Modeling | Sensitivity Labels | Warehouse
Education
N/A
Roles
Analytics | Analytics Engineer | Architect | Data Architect | Data Engineer | Engineer
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