Jobs · New Jersey

Data Engineer - MS Fabric

JSR Tech Consulting · New Jersey, United States · 4 wk ago
HybridContract

What You Will Do

  • Design, develop, and maintain enterprise data solutions within Microsoft Fabric.
  • Build scalable, reliable, and high-performing data pipelines supporting analytics and reporting initiatives.
  • Design and optimize data models for reporting, analytics, and downstream applications.
  • Perform data cleansing, transformation, and validation across multiple enterprise data sources.
  • Develop ELT/ETL workflows using Microsoft Fabric Data Factory and related Fabric services.
  • Optimize data ingestion, storage, and processing performance.
  • Work closely with business stakeholders to understand reporting and analytics requirements.
  • Implement data quality, governance, and security best practices.
  • Partner with BI developers and data consumers to deliver trusted enterprise datasets.
  • Troubleshoot pipeline failures, performance bottlenecks, and production issues.
  • Recommend best practices for Microsoft Fabric architecture and implementation.

What You Will Need

  • 1-2+ years of hands-on Microsoft Fabric experience in production environments.
  • Strong experience designing and managing enterprise-scale data pipelines.
  • Expertise in data modeling, data integration, and data cleansing techniques.
  • Advanced Python development experience for automation and data engineering.
  • Strong SQL skills with experience optimizing complex queries.
  • Experience working with large enterprise datasets.
  • Experience designing scalable cloud-based data solutions.
  • Strong understanding of data governance and data quality practices.
  • Excellent troubleshooting and performance tuning skills.
  • Strong communication skills with a collaborative, consulting mindset.

Nice to Have

  • Microsoft Fabric certifications (strongly preferred).
  • DP-600 (Fabric Analytics Engineer Associate).
  • DP-700 (if applicable).
  • Power BI experience.
  • Azure Data Factory.
  • Lakehouse architecture.
  • Data Warehouse implementation.
  • Financial Services experience.
  • Experience with Spark, PySpark, or notebooks within Fabric.

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