{"id":3102437,"url":"https://alion.io/job/exl-lead-data-engineer-azure-fabric","title":"Lead Data Engineer - Azure + Fabric","company":{"id":38016,"name":"EXL","domain":"exlservice.com","url":"https://alion.io/company/exl","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Oracle","truth_index":{"grade":"B","score":80,"open_postings":232,"ghost_share":0,"stale_share":0.991,"repost_share":0,"time_to_fill_p50_days":9,"computed_at":"2026-10-23T05:54:15Z"}},"role":"Data Science","role_family":"Data Science","seniority":"lead","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Gurgaon, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":30000,"max_usd":65000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":20},"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Azure","optional":false},{"name":"Azure DevOps","optional":false},{"name":"CI/CD","optional":false},{"name":"Delta Lake","optional":false},{"name":"ETL/ELT","optional":false},{"name":"GCP","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":"SharePoint","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-08-17T06:55:08Z","employer_posted_date":"2026-08-17","last_verified_at":"2026-10-23T05:40:26Z","board_verified":true,"closed_at":null,"days_open":67,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":67},"description":"Data Engineer - Microsoft Fabric / OneLake\nRole Overview\nWe are looking for a Data Engineer to develop and maintain a modern data platform leveraging Microsoft Fabric, OneLake, and the Medallion Architecture. The role will focus on building scalable data pipelines, implementing data transformation and quality processes, and supporting curated data products for analytics and Power BI.\nKey Responsibilities\nDevelop and maintain Microsoft Fabric / OneLake Lakehouse solutions across Bronze, Silver, and Gold layers.\nBuild reusable data ingestion pipelines and CDC frameworks for sources including GCP, CSV, Excel, email files, and SharePoint.\nImplement Bronze-layer ingestion with audit logging, schema validation, schema-drift detection, and error handling.\nDevelop Silver-layer transformations for cleansing, standardization, data quality, validation, and exception handling.\nBuild Gold-layer datasets including curated entities, conformed dimensions, business metrics, KPIs, aggregations, and secure views.\nDevelop and optimize Spark / PySpark, Python, and SQL workloads for scalable data processing.\nBuild data pipelines using Fabric Data Pipelines, Synapse Pipelines, and Notebooks.\nSupport Power BI semantic models and Direct Lake data consumption requirements.\nImplement data quality checks, reconciliation processes, monitoring, and operational controls.\nFollow data governance and security standards, including Purview, RBAC, PII/PHI controls, classification, and lineage.\nTroubleshoot pipeline failures, performance issues, data discrepancies, and production incidents.\nCollaborate with Solution Architects, Lead Data Engineers, BI teams, and business stakeholders to deliver scalable data solutions.\nRequired Experience & Skills\n8+ years of overall Data Engineering experience with hands-on experience in Azure/ Microsoft Fabric.\nStrong hands-on experience with Microsoft Fabric Lakehouse, OneLake, Warehouse, Data Pipelines, and Notebooks.\nProficiency in Spark / PySpark, Python, SQL, and Delta Lake.\nExperience with ETL/ELT, CDC, data ingestion, transformation, and Medallion Architecture.\nExperience developing data quality, validation, reconciliation, and exception-handling frameworks.\nKnowledge of Power BI semantic models and Direct Lake.\nExperience with Microsoft Purview, Azure DevOps, Git, CI/CD, and deployment \nCommercial insurance or brokerage data experience preferred.\nEducation & Certifications\nB. Tech / Bachelor’s degree or equivalent in Computer Science, Engineering, Information Technology, or a related field.\nMicrosoft Fabric or Azure Data Engineer certification preferred.\nKey Responsibilities\nDevelop and maintain Microsoft Fabric / OneLake Lakehouse solutions across Bronze, Silver, and Gold layers.\nBuild reusable data ingestion pipelines and CDC frameworks for sources including GCP, CSV, Excel, email files, and SharePoint.\nImplement Bronze-layer ingestion with audit logging, schema validation, schema-drift detection, and error handling.\nDevelop Silver-layer transformations for cleansing, standardization, data quality, validation, and exception handling.\nBuild Gold-layer datasets including curated entities, conformed dimensions, business metrics, KPIs, aggregations, and secure views.\nDevelop and optimize Spark / PySpark, Python, and SQL workloads for scalable data processing.\nBuild data pipelines using Fabric Data Pipelines, Synapse Pipelines, and Notebooks.\nSupport Power BI semantic models and Direct Lake data consumption requirements.\nImplement data quality checks, reconciliation processes, monitoring, and operational controls.\nFollow data governance and security standards, including Purview, RBAC, PII/PHI controls, classification, and lineage.\nTroubleshoot pipeline failures, performance issues, data discrepancies, and production incidents.\nCollaborate with Solution Architects, Lead Data Engineers, BI teams, and business stakeholders to deliver scalable data solutions.\nRequired Experience & Skills\n8+ years of overall Data Engineering experience with hands-on experience in Azure/ Microsoft Fabric.\nStrong hands-on experience with Microsoft Fabric Lakehouse, OneLake, Warehouse, Data Pipelines, and Notebooks.\nProficiency in Spark / PySpark, Python, SQL, and Delta Lake.\nExperience with ETL/ELT, CDC, data ingestion, transformation, and Medallion Architecture.\nExperience developing data quality, validation, reconciliation, and exception-handling frameworks.\nKnowledge of Power BI semantic models and Direct Lake.\nExperience with Microsoft Purview, Azure DevOps, Git, CI/CD, and deployment \nCommercial insurance or brokerage data experience preferred.\nEducation & Certifications\nB . Tech / Bachelor’s degree or equivalent in Computer Science, Engineering, Information Technology, or a related field.\nMicrosoft Fabric or Azure Data Engineer certification preferred.","description_format":"text","description_chars":4827,"description_truncated":false,"requirements":{"experience_years_min":8,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":true},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Business Process Outsourcing (BPO)","AI Consulting & Integration","Analytics & BI Consulting"],"lifecycle":[{"event":"open","at":"2026-10-22T17:52:44Z"}],"visa":[],"liveness":{"score":5,"band":"cold","label":"Long shot","p_open":1,"p_active":0.19,"p_room":0.28,"age_days":66,"expected_fill_days":9,"reasons":["conf:0","stale_co","velocity","win:tail","crowd:brand"],"computed_at":"2026-10-23T05:54:15Z"},"pay":null,"html_url":"https://alion.io/job/exl-lead-data-engineer-azure-fabric","json_url":"https://alion.io/job/exl-lead-data-engineer-azure-fabric.json","meta":{"generated_at":"2026-10-23T08:05:12Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":12889,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-24T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":38016},"rest":"https://alion.io/mcp/rest/get_company?id=38016"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fexl-lead-data-engineer-azure-fabric"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fexl-lead-data-engineer-azure-fabric"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fexl-lead-data-engineer-azure-fabric"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/exl-lead-data-engineer-azure-fabric\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fexl-lead-data-engineer-azure-fabric"}]}