{"id":3451147,"url":"https://alion.io/job/infosys-power-bi-on-fabric-developer","title":"Power BI On Fabric Developer","company":{"id":223,"name":"Infosys","domain":"infosys.com","url":"https://alion.io/company/infosys","size_band":"5000+","is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"Career site","truth_index":{"grade":"A","score":95,"open_postings":230,"ghost_share":0,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":93,"computed_at":"2026-10-31T05:58:55Z"}},"role":"Analytics","role_family":"Analytics","seniority":"junior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Pune, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":8000,"max_usd":18000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":13},"experience_years_min":2,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Azure","optional":false},{"name":"Azure Data Factory","optional":false},{"name":"Azure DevOps","optional":false},{"name":"Copilot","optional":false},{"name":"Databricks","optional":false},{"name":"Delta Lake","optional":false},{"name":"Git","optional":false},{"name":"Microsoft Fabric","optional":false},{"name":"Power BI","optional":false},{"name":"pySpark","optional":false},{"name":"Rest API","optional":false},{"name":"SQL","optional":false},{"name":"Python","optional":true},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-10-19T05:52:54Z","employer_posted_date":"2026-10-29","last_verified_at":"2026-10-31T06:53:13Z","board_verified":true,"closed_at":null,"days_open":12,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":12},"description":"Design, develop, and maintain Power BI reports, dashboards, semantic models, and DAX measures.\nDevelop end-to-end data solutions using Microsoft Fabric, including Lakehouse, Data Warehouse and Notebooks.\nBuild scalable Bronze → Silver → Gold data architectures using Fabric Lakehouse and Delta tables.\nDevelop data ingestion and transformation pipelines using Fabric Data Factory and PySpark/SQL.\nDesign optimized Power BI semantic models using star schema, relationships, calculated columns, measures, and calculation groups.\nDevelop complex DAX for business calculations, time intelligence, KPIs, and analytical reporting.\nImplement Direct Lake, Import, and DirectQuery models based on performance and business requirements.\nResponsibilities\nOptimize Power BI performance using DAX optimization, query reduction, model optimization, aggregations, partitioning, and incremental refresh.\nImplement Row-Level Security (RLS) and security/access controls.\nIntegrate Power BI with Fabric Warehouse/Lakehouse, SQL Server, Azure Data Lake, and other enterprise data sources.\nMonitor and troubleshoot Fabric pipelines, notebooks, semantic models, and Power BI refresh/performance issues.\nWork with business stakeholders to understand requirements and translate them into analytical solutions.\nImplement deployment and lifecycle management using Git integration, deployment pipelines, and Azure DevOps.\nApply data governance, naming standards, metadata management, and workspace/security best practices.\nExperience with Microsoft Purview, Fabric monitoring, OneLake, and Fabric capacity management is an advantage.\nTechnical requirements\nKey Skills:\n2 - 3 Years of experience in Power BI, Advanced DAX, Power Query / M, Data modeling / Star schema, SQL\nMicrosoft Fabric, Fabric Lakehouse / Warehouse, Fabric Data Factory / Pipelines\nPySpark, Delta Lake, Performance optimization, Direct Lake\nAzure Databricks, OneLake, Microsoft Purview, Azure DevOps / Git, Power BI REST APIs, Fabric Copilot / Azure AI\nAdditional responsibilities\nInfosys is a global leader in next-generation digital services and consulting. 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