Fabric and Power BI Developer
16 hours ago
𝗝𝗼𝗯 𝗗𝗲𝘀𝗰𝗿𝗶𝗽𝘁𝗶𝗼𝗻: Fabric and Power BI Developer
𝗘𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲: 4- 8 Years
𝗟𝗼𝗰𝗮𝘁𝗶𝗼𝗻: Hyderabad
We are looking for an experienced Power BI & Microsoft Fabric Developer to join our data engineering and analytics team. The ideal candidate will have hands-on experience in designing and developing data pipelines, semantic models, and interactive dashboards using Microsoft Fabric and Power BI. The role involves working closely with data engineers, architects and business analysts to build scalable, governed and insight-driven BI solutions.
𝗞𝗲𝘆 𝗥𝗲𝘀𝗽𝗼𝗻𝘀𝗶𝗯𝗶𝗹𝗶𝘁𝗶𝗲𝘀
• Design, build, and maintain data ingestion and transformation pipelines in Microsoft Fabric.
• Develop and manage Fabric Lakehouses, Dataflows and Semantic Models for analytics and reporting.
• Create and publish Power BI dashboards with strong data modeling, DAX and visualization standards.
• Implement Row-Level Security (RLS) and workspace access controls for secure reporting.
• Ensure metadata, lineage and data quality governance within Fabric environments.
• Collaborate with cross-functional teams to understand business KPIs and translate them into analytical solutions.
• Optimize Power BI datasets and reports for performance and scalability.
• Participate in UAT, documentation and deployment of BI deliverables.
𝗥𝗲𝗾𝘂𝗶𝗿𝗲𝗱 𝗦𝗸𝗶𝗹𝗹𝘀 & 𝗘𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲
• 𝟰–𝟴 𝘆𝗲𝗮𝗿𝘀 𝗼𝗳 𝗽𝗿𝗼𝘃𝗲𝗻 𝗲𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲 in Power BI development (data modeling, DAX, visualization, performance tuning).
• Hands-on experience in Microsoft Fabric (Lakehouse, Pipelines, Dataflows, OneLake).
• Strong SQL skills and understanding of data warehousing concepts.
• Experience implementing data governance, metadata and lineage tracking in Fabric or similar platforms.
• Familiarity with Azure Data Factory, Synapse or Data Gateway configurations.
• Excellent analytical, problem-solving and communication skills.
𝗚𝗼𝗼𝗱 𝘁𝗼 𝗛𝗮𝘃𝗲
• Exposure to AI/CoPilot integration or predictive analytics using Power BI or Fabric ML.
• Experience with DevOps pipelines and CI/CD for Power BI deployments.
• Knowledge of data quality frameworks and validation mechanisms.
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