Power BI , MS Fabric with SQL Developer

JD for quick reference:

• 8+ years of experience in data engineering, BI, or analytics with at least 2+ years of hands-on expertise in Microsoft Fabric.


• Manage/Enhance the current pipelines, integrations, on-premises SQL Servers and other DBs as needed.


• Lead the migration and transformation of the existing data ecosystem into Microsoft Fabric including end-to-end data solution design from ingestion to consumption ensuring scalability, performance, and security.


• Build and manage data pipelines, dataflows, and semantic models to ensure seamless data ingestion, transformation, and accessibility.


• Expertise in data modeling, ETL/ELT pipelines in Fabric s Lakehouse environment.


• Optimize data pipelines and reports for cost efficiency and performance within Microsoft Fabric s unified architecture.


• Design and develop Power BI reports, dashboards, and paginated reports aligned with business KPIs and data governance standards.


• Deep hands-on experience with Power BI architecture data modeling within Power BI, relationships, measures, and row-level security (RLS).

JD for quick reference:

• 8+ years of experience in data engineering, BI, or analytics with at least 2+ years of hands-on expertise in Microsoft Fabric.


• Manage/Enhance the current pipelines, integrations, on-premises SQL Servers and other DBs as needed.


• Lead the migration and transformation of the existing data ecosystem into Microsoft Fabric including end-to-end data solution design from ingestion to consumption ensuring scalability, performance, and security.


• Build and manage data pipelines, dataflows, and semantic models to ensure seamless data ingestion, transformation, and accessibility.


• Expertise in data modeling, ETL/ELT pipelines in Fabric s Lakehouse environment.


• Optimize data pipelines and reports for cost efficiency and performance within Microsoft Fabric s unified architecture.


• Design and develop Power BI reports, dashboards, and paginated reports aligned with business KPIs and data governance standards.


• Deep hands-on experience with Power BI architecture data modeling within Power BI, relationships, measures, and row-level security (RLS).