{"id":2770982,"url":"https://alion.io/job/ray-business-technologies-senior-microsoft-fabric-developer-data-engineering","title":"Senior Microsoft Fabric Developer - Data Engineering","company":{"id":3800244,"name":"Ray Business Technologies","domain":"raybiztech.com","url":"https://alion.io/company/ray-business-technologies","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Hyderabad, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":19000,"max_usd":42000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":75},"experience_years_min":1,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Azure","optional":false},{"name":"Azure Data Factory","optional":false},{"name":"Databricks","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Microsoft Fabric","optional":false},{"name":"Power BI","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"SSIS","optional":false},{"name":"CI/CD","optional":true},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-09-18T05:14:44Z","employer_posted_date":null,"last_verified_at":"2026-09-18T05:14:44Z","board_verified":false,"closed_at":null,"days_open":53,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":53},"description":"Role Overview :\n\nWe are seeking a Senior Microsoft Fabric Developer with strong hands-on experience in building modern data platforms. The ideal candidate will play a key role in designing and implementing scalable data solutions using Fabric and Azure data services.\n\nKey Responsibilities :\n\nData Engineering & Development :\n\n- Design and build data solutions using: Lakehouse, Warehouse, and OneLake in Fabric, Fabric Data Pipelines and Dataflows Gen2.\n\n- Develop and maintain scalable ETL/ELT pipelines using: Azure Data Factory, Azure Synapse Analytics, Azure Databricks.\n\n- Implement transformations using PySpark / Python notebooks.\n\nData Modeling & Architecture Implementation :\n\n- Implement Medallion Architecture (Bronze / Silver / Gold layers).\n\n- Develop optimized data models (star/snowflake schemas).\n\n- Ensure data quality, consistency, and performance.\n\n- Work with architects to align with data governance and standards.\n\nPower BI Development :\n\n- Build and optimize Power BI semantic models.\n\n- Implement: Row-Level Security (RLS), Incremental refresh, Aggregations and performance tuning.\n\n- Create reusable datasets and dashboards for business users.\n\nModernization & Migration :\n\n- Contribute to migration initiatives: SSIS - Fabric, ADF / Synapse - Fabric Pipelines, On-prem SQL - OneLake.\n\n- Refactor legacy pipelines into modern Fabric-based solutions.\n\nRequired Skills :\n\n- Strong hands-on experience with Microsoft Fabric (1 year).\n\n- Expertise in PySpark, SQL, and Python.\n\n- Experience with Azure data ecosystem tools.\n\n- Solid understanding of: Data warehousing concepts, Lakehouse architecture, ETL/ELT design patterns.\n\nGood to Have :\n\n- Exposure to CI/CD and DevOps practices.\n\n- Experience working in large-scale data platforms.\n\n- Microsoft certifications (Fabric / Azure).\n\nSkills\nMicrosoft Fabric, Azure Data Factory, PySpark, Data Warehousing, Power BI, Python, SQL, Azure Databricks, Data Modeling, Data 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