Lead IT Engineer - Data & BI

Requirements:

• 3–5years of experience in Power BI Development and Power BI Service Administration.

• Strong hands-onexpertisein Power BI Reports, Dashboards, Semantic Models, DAX, Power Query, and Data Modelling.

• Good understanding of Microsoft Fabric fundamentals including Lakehouse, Data Pipelines, Dataflows Gen2, Warehouse,OneLake, and Fabric capacity concepts.

• Experience in Power BI/Fabric administration activities such as capacities, gateways, workspaces, security models, deployment pipelines, and licensing.

• Strong knowledge of SQL, DAX, M language, and business intelligence fundamentals.

• Good understanding of data warehousing, dimensional modelling, and enterprise reporting concepts.

• Exposure to Azure and Power Platform tools such as Power Automate and Power Apps is an added advantage.

• Strong communicationand stakeholder management skills with the ability to present dashboards and business insights effectively.

• Manufacturing domain experience is preferred.

• Microsoft Certified PowerBIData AnalystAssociate orFabric Analytics EngineerAssociate

• AssociateDegree in Information Technology, Computer Science, Engineering, or related disciplines.

Responsibilities:

• Design, develop, andmaintaininteractive dashboards, KPI scorecards, reports, and semantic models using Power BI and Microsoft Fabric.

• Gather business requirements from leadership and functional teams and deliver scalable analytics solutions for decision making.

• Develop andoptimizePower BI datasets, DAX measures, data models, and Power Query transformations.

• Administer andmaintainPower BI Service and Fabric environments including capacities, gateways, workspaces, security, deployment pipelines, governance, and licensing.

• Modernize and automate existing Excel/manual reporting processes using Power BI, Fabric, and Power Platform solutions.

• Build and support Fabric-based solutions including Dataflows Gen2, Data Pipelines, Lakehouse, Warehouse,OneLakeintegration, and other emerging Fabric capabilities.

• Work closely with business and IT teams to support Fabric adoption and promote self-service analytics across the organization.

• Stay updated with latest Microsoft Fabric and Power BI features and recommend best practices for enterprise analytics implementation.