MS Fabric Data Engineer

Dice is the leading career destination for tech experts at every stage of their careers. Our client, Daman Consulting, is seeking the following. Apply via Dice today! Job Title: MS Fabric Data Engineer Location: Philadelphia, PA - Onsite Job Type: Contract-to-Hire Job Summary We are hiring an experienced MS Fabric Data Engineer on behalf of our client, a leading real estate investment and management company headquartered in Conshohocken, Pennsylvania. The ideal candidate will design and optimize scalable data pipelines using Microsoft Fabric, support ETL and analytics initiatives, provide guidance on Power BI visualizations, and ensure reliable, high-performing data solutions. Key Responsibilities Data Pipeline and Architecture Design, develop, and maintain scalable data pipelines and architectures using Microsoft Fabric. Implement ETL processes to ensure data accuracy and availability. Optimize and tune data workflows for performance and scalability. Visualization and Guidance Provide guidance on visualization tools, focusing on Power BI. Contribute to guidelines and standards for visualization techniques and analytic dashboards. Monitoring and Troubleshooting Monitor and troubleshoot data pipeline issues, ensuring timely resolution. Documentation and Best Practices Develop and maintain documentation for data processes, architectures, and workflows. Stay updated with the latest trends and best practices in data engineering and Microsoft Fabric. Required Skills & Qualifications Bachelor’s in computer science, data engineering, statistics, mathematics, or related fields. 5 years in data visualization, data mining, and analysis using Power BI Proven experience as a Data Engineer, with a focus on Microsoft Fabric. Ability to write complex SQL queries. Experience with Azure DevOps Git for version control. Experience creating data pipelines within Fabric workspace to transfer transformed data from Lakehouse to warehouse tables within Fabric workspace. Understanding of data governance and security best practices.