Job Description

Key Skills: 3 - 5 Years of experience in Power BI, Advanced DAX, Power Query / M, Data modeling / Star schema, SQL Microsoft Fabric, Fabric Lakehouse / Warehouse, Fabric Data Factory / Pipelines PySpark, Delta Lake, Performance optimization, Direct Lake Azure Databricks, OneLake, Microsoft Purview, Azure DevOps / Git, Power BI REST APIs, Fabric Copilot / Azure AI

Optimize Power BI performance using DAX optimization, query reduction, model optimization, aggregations, partitioning, and incremental refresh. Implement Row-Level Security (RLS) and security/access controls. Integrate Power BI with Fabric Warehouse/Lakehouse, SQL Server, Azure Data Lake, and other enterprise data sources. Monitor and troubleshoot Fabric pipelines, notebooks, semantic models, and Power BI refresh/performance issues. Work with business stakeholders to understand requirements and translate them into analytical solutions. Implement deployment and lifecycle management using Git integration, deployment pipelines, and Azure DevOps. Apply data governance, naming standards, metadata management, and workspace/security best practices. Experience with Microsoft Purview, Fabric monitoring, OneLake, and Fabric capacity management is an advantage.

Infosys is a global leader in next-generation digital services and consulting. Within the Data & Analytics unit, you will work on cutting-edge data engineering and analytics initiatives for global clients across industries. The role offers opportunities to work with cloud-native data platforms, modern analytics ecosystems, AI-driven solutions, and large-scale enterprise data modernization programs. Employees benefit from continuous learning programs, certifications, and career growth opportunities within Infosys data and analytics practice