Key Responsibilities
Build complex, enterprise-grade Power BI dashboards, reports, and analytical solutions.
Develop advanced DAX measures, Power Query/M, KPIs, semantic models, and data models.
Design optimized star-schema/dimensional models and troubleshoot Power BI performance.
Work with Power BI Service, workspaces, refreshes, gateways, deployment, and RLS.
Analyze large datasets and convert business requirements into meaningful insights, KPIs, and actionable dashboards.
Write complex and optimized SQL queries for data analysis, validation, and reporting.
Develop/support Azure Data Factory pipelines and ETL/ELT processes.
Work with modern data platforms including Microsoft Fabric, Azure Synapse, Databricks, and Snowflake.
Use Python for data analysis, transformation, automation, or ETL.
Have working exposure to Spark/PySpark, preferably in Databricks environments.
Collaborate with business users, analysts, data engineers,



and technical teams to deliver end-to-end analytics solutions.

Required Profile

Must be solid in:
Power BI Desktop & Service
Advanced DAX & Power Query
Complex dashboard/report development
Data analytics & business understanding
SQL & data modeling
Data warehouse concepts

Positive working knowledge/exposure:
Azure Data Factory & ETL/ELT
Microsoft Fabric
Azure Synapse Analytics
Databricks / Spark
Snowflake
Python

Ideal Candidate We are not looking for only a Power BI report developer or a pure Data Engineer. We need someone who can understand:

Business Problem Data ETL Warehouse/Lakehouse Modeling Power BI Analytics Business Insight

Power BI and Analytics should be the candidate's strongest areas, with sufficient breadth across the up-to-date data stack to work as an all-round BI/Analytics Engineer.

📌 Senior Power Bi & Analytics Engineer Delhi
🏢 Multicloud4u Technologies
📍 Delhi