{"id":3710903,"url":"https://alion.io/job/highbrow-technology-azure-ai-data-engineer","title":"Azure AI Data Engineer","company":{"id":3808937,"name":"Highbrow Technology","domain":"highbrowtechnology.com","url":"https://alion.io/company/highbrow-technology-private-limited","size_band":null,"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":"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":null,"experience_years_min":6,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Azure","optional":false},{"name":"Azure Cosmos DB","optional":false},{"name":"Azure Data Factory","optional":false},{"name":"Azure SQL Database","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Microsoft Fabric","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"SQL","optional":false},{"name":"Agile","optional":true},{"name":"CI/CD","optional":true},{"name":"Embeddings","optional":true},{"name":"pySpark","optional":true},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-11-03T17:24:18Z","employer_posted_date":null,"last_verified_at":"2026-11-03T17:24:18Z","board_verified":false,"closed_at":null,"days_open":0,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":0},"description":"We're Hiring: Azure AI – Data Engineer\nEXP - 6 TO 8 Yrs\nWe are looking for an experienced Azure AI – Data Engineer with strong hands-on expertise in Azure data engineering services and modern data platforms. The ideal candidate will build scalable data pipelines and support AI/GenAI use cases.\nMandatory Skills: Azure Data Factory (ADF), Azure Synapse Analytics, Microsoft Fabric\nKey Responsibilities\nDesign, develop, and maintain scalable data pipelines using ADF, Azure Synapse Analytics, and Microsoft Fabric.\nBuild and optimize enterprise data solutions using Azure Data Lake, Cosmos DB, Azure SQL, and Synapse.\nImplement data ingestion, transformation, and integration for structured and unstructured data.\nDevelop modern data platforms, data warehouses, and analytics solutions.\nSupport AI/GenAI use cases involving RAG (Retrieval-Augmented Generation), vector search, and Azure AI Search.\nCollaborate with business and engineering teams to ensure data quality, security, governance, and performance.\nRequired Qualifications\nBachelor's degree in Computer Science, IT, Engineering, or a related field.\nHands-on experience with ADF, Azure Synapse Analytics, Microsoft Fabric, Azure Data Lake, Cosmos DB, and Azure SQL/Synapse.\nStrong proficiency in SQL, Python, ETL/ELT pipelines, and data engineering concepts.\nExperience with data modeling, cloud data architecture, and performance optimization.\nStrong analytical, problem-solving, and communication skills.\nPreferred Qualifications\nExperience with Azure AI Search, vector databases, embeddings, and RAG-based AI solutions.\nKnowledge of Spark, PySpark, and Microsoft Fabric Lakehouse architectures.\nExperience with DevOps, CI/CD pipelines, and Infrastructure as Code.\nMicrosoft Azure or Fabric certifications.\nExperience working in Agile delivery or consulting environments.\nInterested candidates: Please share your updated resume or DM me for further details.\nKnow someone who would be a great fit Feel free to tag them or share this opportunity!\n#Hiring #AzureDataEngineer #AzureAI #MicrosoftFabric #AzureDataFactory #AzureSynapse #DataEngineering #GenAI #RAG #Python #SQL 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