Job Summary

We are seeking a talented and experienced Data AI Engineer with robust Azure cloud competencies to join our agile team.

Responsibilities
Lead the design and development of Power BI dashboards, reports, and semantic models for enterprise use cases.
Architect and implement analytics solutions using Microsoft Fabric (Lakehouse, Warehouses, Dataflows Gen2, OneLake).
Design optimized data models (Star/Snowflake) and semantic layers for performance and scalability.
Develop and optimize DAX measures, calculated columns, and KPIs following best practices.
Integrate data from multiple sources including SQL databases, cloud data platforms, APIs, and Fabric workloads.
Ensure performance optimization using aggregation, incremental refresh, and query tuning techniques.
Implement row-level security (RLS), workspace management, and governance standards.
Collaborate with business stakeholders to gather requirements and translate them into analytical solutions.
Review code,



enforce BI best practices, and mentor junior Power BI developers.
Support deployment, release management, and documentation of BI solutions.

Qualifications
B.Tech/BCA or any Graduation
Experience in domains such as Retail, Telecom, BFSI, or Manufacturing
Exposure to CI/CD for Power BI or Fabric
Knowledge of Azure Synapse / Data Engineering concepts
Exposure on Other BI tools like tableau and Qlik

Skills
Power BI
DAX
Data Modeling
Power Query
Azure Synapse
Data Visualization

Work Mode

Work from Office

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

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