Microsoft Fabric Data Engineer

Precision Technologies United State
Visa Sponsorship Relocation
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AI Summary

Design and build scalable enterprise data platforms using Microsoft's modern analytics ecosystem. Develop solutions using Data Factory, Synapse, and Lakehouse architecture. Implement scalable data ingestion from multiple sources.

Key Highlights
Design and build scalable enterprise data platforms
Develop solutions using Data Factory, Synapse, and Lakehouse architecture
Implement scalable data ingestion from multiple sources
Key Responsibilities
Build and manage data pipelines using Microsoft Fabric
Develop solutions using Data Factory, Synapse, and Lakehouse architecture
Design and optimize ETL/ELT workflows
Work with Power BI datasets and semantic models
Implement scalable data ingestion from multiple sources
Optimize performance, storage, and data governance
Collaborate with analytics, BI, and engineering teams
Technical Skills Required
Microsoft Fabric Azure Data Factory Synapse Analytics Lakehouse architecture SQL Python PySpark Power BI
Benefits & Perks
Full-time employment
W2 employment only
Relocation to multiple client locations across USA
Visa sponsorship for all visa types
Nice to Have
Experience migrating legacy data platforms to Fabric
Experience with large enterprise data environments
Familiarity with DevOps & CI/CD pipelines

Job Description


Title: Microsoft Fabric Data Engineer

Location: Multiple client locations across USA (Open to relocation)

Employment Type: Full-time (W2 only, No C2C)

Experience: 8–10+ Years

Visa: All visa types accepted


About the Role

We are seeking an experienced Microsoft Fabric Data Engineer to design and build scalable enterprise data platforms using Microsoft’s modern analytics ecosystem. The ideal candidate has strong experience in Fabric, Azure Data Engineering, ETL pipelines, and data warehousing.

Key Responsibilities

  • Build and manage data pipelines using Microsoft Fabric
  • Develop solutions using Data Factory, Synapse, and Lakehouse architecture
  • Design and optimize ETL/ELT workflows
  • Work with Power BI datasets and semantic models
  • Implement scalable data ingestion from multiple sources
  • Optimize performance, storage, and data governance
  • Collaborate with analytics, BI, and engineering teams

Required Skills

  • Strong hands-on experience with Microsoft Fabric
  • Experience with Azure Data Factory / Synapse Analytics
  • Knowledge of Lakehouse architecture
  • Strong SQL and Python/PySpark experience
  • Experience with Power BI integration
  • Knowledge of data modeling & performance tuning

Preferred

  • Experience migrating legacy data platforms to Fabric
  • Experience with large enterprise data environments
  • Familiarity with DevOps & CI/CD pipelines


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