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Power BI Fabric Support Engineer & Developer

Power BI Fabric Support Engineer & Developer

This range is provided by Themesoft Inc.. Your actual pay will be based on your skills and experience talk with your recruiter to learn more. Base pay range

$55.00/hr - $62.00/hr Direct message the job poster from Themesoft Inc. Kindly let me know if you are interested in this opportunity Job Title: Power BI Fabric Support Engineer & Developer Job Location:Weekly one day to Jersey City NJ Need 12+ years experience only. We are seeking a skilled and innovative Power BI Fabric Support Engineer & Developer to architect, develop, and maintain advanced business intelligence solutions. Based in Jersey City, NJ, this hybrid role requires one day per week onsite and is ideal for someone who can blend deep technical skills with strong business communication. The successful candidate will be instrumental in shaping the Power BI architecture, leveraging Microsoft Fabric, Power Automate, M language, and scripting tools to enable secure, scalable, and high-performance data solutions. Key Responsibilities Design, implement, and maintain end-to-end Power BI architecture, including: Semantic model design and optimization DAX measures and calculations Report and dashboard creation with UX best practices Define and enforce governance, naming conventions, and version control in Power BI artifacts. Create and manage enterprise datasets, certified dataflows, and shared workspaces with security and scalability in mind. 2. Microsoft Fabric Engineering Direct Lake, Lakehouses, and OneLake Data Pipelines and Notebooks Orchestrate robust, automated, and reusable data workflows that support real-time and batch analytics. 3. Power Automate & Workflow Automation Design and deploy Power Automate flows to support: Alerting and notification systems Integration with third-party systems via connectors and APIs Automate manual business processes to improve efficiency and auditability. 4. Data Transformation & Scripting Use Power Query (M language) for advanced data shaping, cleaning, and transformation logic Data validation Integration with Azure services or REST APIs 5. Stakeholder Collaboration & Communication Seniority level

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