About the Role : We are looking for a hands-on Senior Analytics Engineer with strong expertise in Power BI, SQL, and modern data engineering platforms. The candidate will be responsible for building scalable enterprise analytics solutions, developing ETL/ELT pipelines, designing data models, and delivering high-performance Power BI dashboards and reports using Microsoft Fabric and Azure data services.Key Responsibilities : - Design, develop, and maintain ETL/ELT pipelines using Microsoft Fabric or similar cloud data platforms.- Build and manage Lakehouse and Data Warehouse solutions integrating ERP and enterprise data sources.- Develop complex SQL queries, transformations, data quality checks, and performance optimization.- Design dimensional data models, Star Schema, Fact and Dimension tables, and Gold-layer datasets.- Develop and optimize Power BI dashboards, reports, DAX measures, Power Query, and semantic models.- Implement Row-Level Security (RLS) and ensure data governance across reporting solutions.- Work with Fabric Lakehouse, Warehouse, Data Factory, and Dataflows Gen2.- Troubleshoot production issues and optimize analytics workloads.- Collaborate with business stakeholders and lead technical discussions.- Mentor junior team members and drive analytics engineering best practices.Mandatory Skills :



- 6 - 10 years of experience in Data Engineering, BI, Analytics Engineering, or Data Warehousing.- Strong hands-on experience in Power BI, including DAX, Power Query, Semantic Models, and dashboard development.- Strong SQL development and query optimization skills.- Experience in ETL/ELT pipeline development.- Hands-on experience with Microsoft Fabric, Azure Data Services, Databricks, or similar cloud platforms.- Strong understanding of Dimensional Modeling, Star Schema, Fact and Dimension tables.- Experience supporting enterprise-level BI and reporting solutions.Good to Have : - Microsoft Fabric Data Factory and Dataflows Gen2.- Fabric Lakehouse, Warehouse, and Direct Lake.- Medallion Architecture (Bronze, Silver, Gold).- Python, PySpark, Spark, and Delta Lake.- Azure DevOps, Git, and CI/CD.- Microsoft Purview and Data Governance.Preferred Candidate Profile : - Candidates should have solid hands-on Power BI development experience combined with SQL and data engineering capabilities.- Experience with Microsoft Fabric is highly preferred.- Candidates with only Power BI report development experience and no exposure to data engineering or data modeling may not be suitable. (ref:hirist.tech)

📌 Senior Analytics Engineer - Power BI/SQL/ETL (Bengaluru)
🏢 Zorba Consulting India
📍 Bengaluru