{"id":1144531,"url":"https://alion.io/job/auxoai-data-engineer-microsoft-fabric","title":"Data Engineer – Microsoft Fabric","company":{"id":46892,"name":"AuxoAI","domain":"auxoai.com","url":"https://alion.io/company/auxoai","size_band":"51-200","is_staffing_agency":false,"is_intermediary":false,"ats_vendor":"Zoho Recruit","truth_index":{"grade":"B","score":75,"open_postings":10,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-09-23T05:45:00Z"}},"role":"Data Science","role_family":"Data Science","seniority":"middle","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"hiring_geo_confidence":"explicit","locations":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":23000,"max_usd":58000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":431},"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Azure","optional":false},{"name":"Azure Data Factory","optional":false},{"name":"Azure SQL Database","optional":false},{"name":"CI/CD","optional":false},{"name":"Dimensional Modeling","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Git","optional":false},{"name":"Microsoft Fabric","optional":false},{"name":"Power BI","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-09-23T14:15:51Z","employer_posted_date":"2026-09-23","last_verified_at":"2026-09-23T14:15:51Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"Role: Data Engineer - Microsoft Fabric Location: India (Bangalore, Hyderabad / Mumbai / Gurugram) Position: Senior Associate Required Experience: 3-6 yearsRole Summary We’re looking for a skilled Data Engineer with Microsoft Fabric experience to join our growing data and AI team. In this role, you will design and build modern data platforms leveraging Microsoft Fabric, enabling scalable analytics, AI-driven insights, and enterprise-grade data solutions for global clients. This is an excellent opportunity to work on next-generation data architectures, contribute to AI-driven transformation programs, and grow into advanced data engineering and platform leadership roles.\nKey\nResponsibilities\nDesign, build, and maintain scalable data pipelines using Microsoft Fabric Data Factory (Pipelines), Dataflows Gen2, Fabric Notebooks, and Lakehouse.\nDevelop and manage OneLake/Fabric Lakehouse architectures for structured and semi-structured healthcare and enterprise data.\nBuild and optimize batch and API-based ingestion pipelines from multiple enterprise data sources, databases, files, and application systems.\nDevelop robust ETL/ELT workflows using SQL, Python, and PySpark for data transformation and enrichment.\nImplement data quality, validation, reconciliation, completeness, consistency, and anomaly-detection checks across source and target datasets.\nDevelop data standardization, deduplication, entity-resolution, record-linkage, and matching workflows across heterogeneous data sources.\nDesign analytics-ready datasets and data models for data scientists, analysts, ML pipelines, and downstream applications.\nCollaborate closely with data scientists and ML engineers to prepare reliable feature-ready and model-consumable datasets.\nIntegrate Microsoft Fabric with Azure data services such as Azure Data Lake Storage, Azure SQL, Synapse components, and Power BI where required.\nImplement incremental ingestion, change-data handling, error handling, retry mechanisms, and pipeline recovery strategies where applicable.\nImplement observability and monitoring using Azure Log Analytics, alerts, action groups, and pipeline-level monitoring.\nSupport data lineage, metadata management, governance, security, and discoverability using Fabric Catalog and/or Microsoft Purview.\nOptimize SQL queries, Spark transformations, storage strategies, and pipeline execution for large-scale datasets.\nSupport CI/CD, Git-based version control, deployment automation, and DataOps practices for Fabric data solutions. Required\nQualifications\nBachelor’s/Master’s degree in Computer Science, Engineering, Data Engineering, or a related field, or equivalent practical experience.\n3-6 years of hands-on data engineering experience, including practical Microsoft Fabric experience.\nStrong hands-on experience with Microsoft Fabric Lakehouse, OneLake, Data Factory/Pipelines, Dataflows Gen2, and Fabric Notebooks.\nStrong SQL skills, including complex queries, data transformation, optimization, and data modeling.\nStrong Python and/or PySpark experience for data transformation and pipeline development.\nExperience designing and implementing ETL/ELT pipelines and integrating data from APIs, databases, files, and enterprise systems.\nExperience implementing data quality, validation, reconciliation, and error-handling workflows.\nExperience with data matching, entity resolution, deduplication, record linkage, or similar data integration workflows.\nWorking knowledge of Azure Data Lake Storage, Azure SQL, and/or Synapse Analytics.\nUnderstanding of data warehousing concepts, dimensional modeling, and analytics-ready data design.\nFamiliarity with Git, CI/CD, deployment automation, and DataOps practices.\nUnderstanding of data governance, security, lineage, metadata, and performance optimization.\nPreferred\nQualifications\nExperience working with healthcare/provider data.\nExperience integrating Power BI with enterprise data platforms.\nExposure to Microsoft Purview or Fabric Catalog.\nExperience with incremental/CDC ingestion and event-driven or near-real-time data pipelines.\n• Exposure to Eventstream, Azure Event Hubs, or other streaming ingestion frameworks.","description_format":"text","description_chars":4151,"description_truncated":false,"requirements":{"experience_years_min":3,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":true},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"India","iso":"IN","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Data Management","AI Agents","Decision Intelligence"],"lifecycle":[{"event":"open","at":"2026-09-23T14:15:51Z"}],"liveness":{"score":86,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.86,"p_room":1,"age_days":0,"expected_fill_days":43,"reasons":["conf:3","win:early"],"computed_at":"2026-09-23T17:37:45Z"},"pay":null,"html_url":"https://alion.io/job/auxoai-data-engineer-microsoft-fabric","json_url":"https://alion.io/job/auxoai-data-engineer-microsoft-fabric.json","meta":{"generated_at":"2026-09-23T17:37:45Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers"}}