Microsoft Fabric Data Engineer
Long-term contract role with a leading investment management firm.
Hybrid work environment - NJ (3 days/week onsite)
General Skill Profile (in order of preference)
Microsoft Fabric, Python, SQL, Data Engineering, Data Modeling, ETL/ELT, Power BI
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.

Data Engineer - MS Fabric

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