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Power BI & Microsoft Fabric Developer

Key Facts

Remote From: 
Full time
Mid-level (2-5 years)
English

Other Skills

  • Time Management
  • Collaboration
  • Troubleshooting (Problem Solving)

Roles & Responsibilities

  • 4–5 years of Power BI experience
  • Hands-on expertise in Microsoft Fabric
  • Strong experience in building high-performance semantic models
  • Experience optimizing large-scale datasets

Requirements:

  • Design, develop, and maintain interactive Power BI dashboards and reports
  • Build and optimize semantic models using best practices
  • Develop end-to-end analytics solutions using Microsoft Fabric
  • Monitor and improve performance using various optimization tools

Job description

This is a remote position.

Power BI and Fabric :

           

Highly skilled Power BI & Microsoft Fabric Developer with 4–5 years of Power BI experience and hands-on expertise in Microsoft Fabric. The ideal candidate will have strong experience in building high-performance semantic models, optimizing large-scale datasets, and implementing efficient data refresh strategies.

 

Key Responsibilities

 

Design, develop, and maintain interactive Power BI dashboards and reports

Build and optimize semantic models (datasets) using best practices like star schema and dimensional modeling

Develop end-to-end analytics solutions using Microsoft Fabric, including Lakehouse & OneLake, Fabric Pipelines, Notebooks (Spark), Direct Lake Semantic Models

Performance Optimization (Critical Responsibility) - semantic models and measures

Reduce report latency through model design, aggregations, and query tuning

Optimize Direct Lake and Import models for large-scale analytics

Monitor and improve performance using tools like Performance Analyzer, DAX Studio, and Fabric monitoring

Large Data Handling - Work with very large datasets (millions to billions of rows)

Implement strategies like - Aggregation tables, Partitioning

Incremental Refresh & Data Strategies:

Handle historical vs real-time data scenarios

Develop data ingestion pipelines from various sources: Snowflake, SQL Server, APIs, Data Lakes, etc.

Implement data governance and security: Row-Level Security (RLS), Data access management

Collaborate with business stakeholders to translate requirements into scalable solutions

Troubleshoot and resolve performance bottlenecks and data issues

Support deployment pipelines, CI/CD, and workspace management in Fabric/Power BI Service



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