Microsoft Fabric Data Engineer

About this role

Description:

The Microsoft Fabric Data Engineer is responsible for designing, building, and maintaining scalable, secure, and high-performance data pipelines and data models within Microsoft Fabric. This role focuses on ingesting data from multiple enterprise source systems into OneLake, transforming data across Bronze, Silver, and Gold layers, and enabling trusted, analytics-ready datasets for reporting, dashboards, and advanced analytics.

The ideal candidate has hands-on experience with Microsoft Fabric, Lakehouse architecture, and modern ELT patterns, and works closely with Power BI developers and business stakeholders to deliver reliable and governed data solutions.

Requirements:

Data Engineering & Pipelines

• Design, develop, and maintain end to end data pipelines in Microsoft Fabric using Pipelines, Dataflows Gen2, and Notebooks
• Ingest structured and semi structured data from SQL databases, APIs, SFTP, CSV, SaaS platforms, and file based sources into OneLake
• Implement incremental and full load ingestion strategies with error handling, logging, and monitoring

Lakehouse & Data Modeling

• Build and manage Lakehouse architectures following Bronze, Silver, and Gold data patterns
• Perform data cleansing, standardization, and transformation to produce analytics ready fact and dimension tables
• Optimize data models to support Direct Lake and Power BI semantic models

Performance, Reliability & Optimization

• Optimize pipeline execution, storage layout, and query performance across Fabric workloads
• Monitor capacity usage and proactively identify performance bottlenecks
• Troubleshoot and resolve data quality, pipeline, and refresh failures

Security, Governance & Compliance

• Implement data security controls using Microsoft Entra ID, workspace roles, and access policies
• Support data governance, lineage, and cataloging through Microsoft Purview
• Follow enterprise standards for data retention, privacy, and compliance (HIPAA/HITRUST whe...