MS Azure Data engineer with Fabric

Position: Sr. MS Fabric Developer with Power BI Exp

Location: Dallas, TX – Must be onsite 4 days a week

Duration: 6-12 months

Start Date: 2 weeks

Interviews: Immediate

Only local candidates.

This candidate will be closely working with our Operations and Finance teams to build out Mockup reports/dashboard and should be coordinating with the offshore team comprising of 2 developers(1 Fabric, 1 Power BI) to build out our Enterprise Data Warehouse and Power BI Dashboards/reports.

We are currently seeking a Fabric Developer to join our team in Dallas, US

Job Duties

• Design, develop, and maintain SQL-based data transformations and models
• Build and manage ADF pipelines for ingesting data from multiple source systems
• Develop and enhance data solutions using Microsoft Fabric components
• Implement end-to-end data ingestion, transformation, and orchestration workflows
• Ensure data quality, accuracy, and consistency across insurance data sources
• Optimize SQL queries and pipelines for performance and scalability
• Collaborate with business analysts and stakeholders on reporting needs
• Support data validation, reconciliation, and issue resolution activities
• Participate in code reviews, deployments, and production support

Required Experience

• Strong hands-on experience in SQL (T SQL) for data analysis and transformations
• Proven experience with Azure Data Factory (ADF) pipelines, triggers, and integrations
• Practical knowledge of Microsoft Fabric (Lakehouse, Data Pipelines, Warehouses)
• Experience building and optimizing ETL / ELT data pipelines
• Solid understanding of data modelling, dimensional models, and schemas
• Experience working with Azure Data Lake, One Lake, and cloud storage
• Strong experience in developing complex reports and Dashboards in

Power BI

• Strong experience in creating AI Agents using

Co-Pilot Studio

to automate Processes/reports using Co-Pilot AI

• Ability to handle large-scale data processing and performance tuning
• Strong analytical skills and ability to collaborate with data engineers and business teams"