Senior Power BI Migration Engineer (Tableau to Power BI)

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We are looking for a highly skilled Senior Power BI Migration Engineer to support an enterprise-scale Tableau to Power BI migration initiative. The role will be primarily focused on Power BI (approximately 70%), with Tableau (approximately 25%) involvement. The ideal candidate will have deep hands-on expertise in Power BI, advanced DAX, data modeling, Microsoft Fabric, Python, Databricks, APIs, and performance optimization, along with strong working knowledge of Tableau. You will be responsible for analyzing existing Tableau dashboards, reports, calculations, data sources, and business logic and translating them into scalable, high-performance Power BI solutions. The role requires someone who can independently troubleshoot complex BI challenges, make technical decisions, and establish migration and development best practices.

1. Tableau to Power BI Migration Analyze existing Tableau dashboards, workbooks, data sources, calculations, filters, parameters, LOD expressions, and business logic. Design and implement equivalent or improved solutions in Power BI. Translate Tableau calculations, LOD expressions, table calculations, parameters, and sets into appropriate Power BI/DAX implementations. Assess Tableau dashboards and determine the appropriate Power BI architecture and visualization approach. Identify gaps or functional differences between Tableau and Power BI and develop suitable solutions. Perform migration validation, including data accuracy, calculations, filters, visualizations, performance, and business functionality. Support migration of enterprise-scale Tableau reporting environments to Power BI. Help establish reusable migration patterns, frameworks, standards, and best practices. 2. Power BI Design & Development Design and develop enterprise-grade Power BI reports and semantic models. Build scalable star-schema data models and implement advanced DAX. Develop complex DAX solutions including: Time intelligence Calculation groups Field parameters Dynamic formatting Complex measures and business calculations Develop intuitive dashboards with strong UX, drill-through, bookmarks, tooltips, and custom visuals. Use Power Query/M and SQL for data preparation and transformation. Select appropriate Power BI storage modes including Import, DirectQuery, and Composite models. Develop solutions that meet requirements for scalability, performance, security, and maintainability. 3. Microsoft Fabric & Data Engineering Develop and support Power BI solutions leveraging Microsoft Fabric. Work with Fabric components including: OneLake Lakehouse Warehouse Data Pipelines Dataflows Gen2 Notebooks Direct Lake Integrate Power BI with Databricks and other enterprise data platforms. Work with Python/PySpark for data preparation, automation, and analytics use cases. Collaborate with data engineering teams to optimize upstream data structures for BI consumption. Understand Fabric capacity, workspace architecture, Git integration, and deployment practices. 4. Performance Optimization Diagnose and resolve performance issues across Power BI reports and semantic models. Optimize DAX, data models, queries, relationships, calculations, and visualizations. Use tools such as: DAX Studio