The Role
Designs and scales enterprise Power BI and Microsoft Fabric analytics solutions. Builds dashboards, reports, semantic models, dimensional data models, and advanced DAX calculations. Develops Fabric Lakehouse, OneLake, Dataflows Gen2, and pipeline solutions; integrates Azure and SQL data sources. Implements row-level security, governance, incremental refresh, performance tuning, capacity optimization, and workspace management. Collaborates with engineering, architecture, and business teams while mentoring junior developers and establishing BI standards.
Summary Generated by Built In
Job Description: Senior Power BI Engineer
Role Overview
Required Skills & Qualifications
Experience: 6+ Years
Location: India (Ahmedabad / Hyderabad)
Function: Data & Analytics | BI Engineering
Technology Stack: Power BI, Microsoft Fabric, SQL, Azure
Role Overview
We are seeking a Senior Power BI Engineer with strong Microsoft Fabric experience to design, develop, and scale enterprise-grade analytics solutions. This role requires deep expertise in Power BI development, semantic modeling, DAX, and hands-on experience with Microsoft Fabric components such as Lakehouse, OneLake, Dataflows Gen2, Pipelines, and Semantic Models.
The candidate will work closely with data engineers, architects, and business stakeholders to deliver high-performance, governed, and scalable BI solutions on a Fabric-first analytics platform.
Key Responsibilities- Design, develop, and maintain Power BI dashboards and reports using Power BI Desktop and Power BI Service
- Build and manage Semantic Models using Microsoft Fabric for enterprise analytics consumption
- Develop end-to-end analytics solutions using Fabric components:
- Lakehouse & OneLake
- Dataflows Gen2
- Shortcuts & Pipelines
- Create optimized data models (star / dimensional) for performance and scalability
- Write advanced DAX measures, calculation groups, and time-intelligence logic
- Implement Row-Level Security (RLS) and manage access using Fabric / Power BI Service
- Enable incremental refresh, performance tuning, and capacity optimization
- Collaborate with data engineering teams to consume data from:
- Fabric Lakehouse / Warehouse
- Azure SQL / SQL Server
- Azure Data Factory / Fabric Pipelines
- Publish, manage, and monitor datasets, reports, and workspaces in Power BI Service / Fabric
- Ensure data quality, governance, and best practices aligned with enterprise analytics standards
- Act as a technical mentor for junior Power BI developers and contribute to BI standards and accelerators
Required Skills & Qualifications
- 6+ years of experience in Power BI / BI Engineering
- Strong hands-on expertise in:
- Power BI Desktop & Power BI Service
- DAX (advanced calculations, performance optimization)
- Power Query (M)
- Hands-on experience with Microsoft Fabric, including:
- Lakehouse & OneLake
- Dataflows Gen2
- Semantic Models
- Fabric Pipelines
- Strong experience in SQL (complex queries, views, performance tuning)
- Solid understanding of data modeling concepts (Star schema, Dimensional modeling)
- Experience with enterprise security (RLS, workspace access, capacity management)
- Strong communication skills with ability to work with business and technical teams
Skills Required
- 6+ years of experience in Power BI or BI Engineering
- Hands-on expertise with Power BI Desktop and Power BI Service
- Advanced DAX calculations and performance optimization experience
- Power Query M experience
- Hands-on Microsoft Fabric experience with Lakehouse, OneLake, Dataflows Gen2, Semantic Models, and Fabric Pipelines
- Strong SQL experience, including complex queries, views, and performance tuning
- Understanding of star schema and dimensional data modeling
- Experience with enterprise security, including row-level security, workspace access, and capacity management
- Strong communication skills and ability to work with business and technical teams
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The Company
What We Do
Anblicks is a Cloud Data Analytics Company based out of Dallas, TX, with offices in USA, India, and Australia. Since 2004, Anblicks has been helping customers by bringing value to their data and implementing modern data architecture and advanced analytics solutions in the cloud.
