{"id":1329267,"url":"https://alion.io/job/ecolab-microsoft-fabric-data-engineer","title":"Microsoft Fabric Data Engineer","company":{"id":1754712,"name":"Ecolab","domain":"ecolab.com","url":"https://alion.io/company/ecolab-com","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"middle","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":18500,"max_usd":45000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":13},"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Azure Data Factory","optional":false},{"name":"CI/CD","optional":false},{"name":"Databricks","optional":false},{"name":"Dimensional Modeling","optional":false},{"name":"Embeddings","optional":false},{"name":"Git","optional":false},{"name":"LLM","optional":false},{"name":"Microsoft Fabric","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Rest API","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"Azure","optional":true},{"name":"Delta Lake","optional":true},{"name":"OpenAI","optional":true},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-09-24T00:00:00Z","employer_posted_date":"2026-09-24","last_verified_at":"2026-09-28T14:12:21Z","board_verified":true,"closed_at":null,"days_open":5,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":5},"description":"Role overview\nJoin the Fabric Center of Excellence to design and deliver modern data and AI solutions on Microsoft Fabric. The role combines data engineering, semantic modeling and Agentic AI to build scalable data products, AI Agents, Data Agents, ontologies and business-facing applications.\nKey responsibilities\nDesign and develop scalable data engineering solutions using Microsoft Fabric Lakehouse, Data Factory, pipelines and notebooks.\nBuild ingestion, transformation and medallion-layer patterns for reliable, reusable and governed data products.\nDesign and develop AI Agents, Data Agents, ontology-driven solutions and Retrieval-Augmented Generation (RAG) experiences.\nCreate high-quality semantic models, relationships, calculations and DAX measures for analytics and AI consumption.\nUse Python, PySpark and SQL to develop production-grade transformations, orchestration and validation logic.\nApply Semantic Link Labs and Fabric Notebooks to automate semantic-model engineering, testing, documentation and operational tasks.\nIntegrate data and AI capabilities into web applications, APIs and business workflows.\nCollaborate with architects, platform engineers, product owners and business stakeholders from discovery through production deployment.\nContribute to engineering standards, reusable accelerators, technical documentation and knowledge sharing across the CoE.\nRequired technical capabilities\nStrong Microsoft Fabric data engineering experience across Lakehouse, pipelines, notebooks and OneLake.\nPython, PySpark and advanced SQL for data processing and transformation.\nSemantic modeling, DAX, dimensional modeling and performance optimization.\nKnowledge of Agentic AI frameworks, RAG patterns, embeddings, vector search and LLM integration.\nHands-on understanding of AI Agents, Data Agents, ontology concepts and AI-ready semantic models.\nWorking knowledge of Snowflake and Databricks.\nGit, CI/CD, REST APIs, security fundamentals and production deployment practices.\nPOSITION 02 | CONTINUED\nQualifications and certifications\nBachelor’s degree in computer science, data engineering, artificial intelligence or a related discipline, or equivalent relevant experience.\nMicrosoft Certified: Fabric Analytics Engineer Associate (DP-600) is mandatory.\nRelated certifications such as DP-203, AI-102 or PL-300 are preferred.\n3-5 years of relevant experience in data engineering, analytics engineering or AI solution development.\nPreferred experience\nDeveloping AI-enabled web applications, APIs or conversational analytics experiences.\nAzure AI services, Azure OpenAI or comparable enterprise LLM platforms.\nProduction implementation of RAG or Agentic AI solutions with evaluation, observability and responsible AI controls.\nDatabricks, Snowflake, Delta Lake and modern cloud data-platform integration.\nDirect Lake, real-time analytics, deployment pipelines and DevOps automation.\nBehavioral competencies\nStrong engineering discipline and an experimentation mindset.\nAbility to translate business problems into scalable data and AI solutions.\nClear communication, collaborative delivery and practical documentation.\nCommitment to security, governance, responsible AI and measurable business outcomes.\nSuccess in this role\nReusable and production-ready Fabric data products.\nTrusted semantic and ontology layers that improve analytics and AI quality.\nSecure, useful AI Agents and Data Agents aligned with business requirements.\nFaster delivery through automation, standards and shared engineering patterns.","description_format":"text","description_chars":3518,"description_truncated":false,"requirements":{"experience_years_min":3,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Water Utilities","Chemical Manufacturing","Sterilization & Infection Control"],"lifecycle":[{"event":"open","at":"2026-09-27T07:58:05Z"}],"liveness":{"score":83,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.831,"p_room":1,"age_days":4,"expected_fill_days":26,"reasons":["conf:5","win:early","comp:brand"],"computed_at":"2026-09-28T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/ecolab-microsoft-fabric-data-engineer","json_url":"https://alion.io/job/ecolab-microsoft-fabric-data-engineer.json","meta":{"generated_at":"2026-09-29T02:17:29Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":1934,"day_limit":5000,"remaining_today":3066,"minute_limit":60,"resets_at":"2026-09-30T00:00:00Z"}}}