{"id":4150718,"url":"https://alion.io/job/celebal-tech-azure-data-engineer-microsoft-fabric","title":"Azure Data Engineer - Microsoft Fabric","company":{"id":2810284,"name":"Celebal Tech","domain":"celebaltech.com","url":"https://alion.io/company/celebaltech","size_band":null,"is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"middle","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Jaipur, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Azure","optional":false},{"name":"Azure Data Factory","optional":false},{"name":"Azure 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Database","optional":true},{"name":"MLFlow","optional":true},{"name":"OpenAI","optional":true},{"name":"Snowflake","optional":true}],"status":"live","first_seen_at":"2026-11-12T08:25:05Z","employer_posted_date":null,"last_verified_at":"2026-11-12T08:25:05Z","board_verified":false,"closed_at":null,"days_open":2,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":2},"description":"Job Summary : \n\nWe are looking for an experienced Azure Data Engineer with strong Microsoft Fabric expertise to design, develop, and optimize modern data and analytics solutions.\n\nThe role requires hands-on experience across Fabric Lakehouse, Warehouse, OneLake, Data Factory, PySpark, Power BI, DAX, semantic models, and Data Agents.\n\nThe ideal candidate should be strong in both data engineering and analytics, with a particular focus on performance optimization, scalable data modeling, and AI-enabled data solutions.\n\nKey Responsibilities : \n\n- Design and develop scalable ETL/ELT pipelines using Microsoft Fabric Data Factory, Dataflows Gen2, SQL, Python, and PySpark.\n\n- Build and optimize Lakehouse, Warehouse, OneLake, and Delta Lake solutions using Bronze/Silver/Gold architecture.\n\n- Develop complex T-SQL queries, views, transformations, and dimensional data models using star schema, fact/dimension tables, and SCD.\n\n- Develop and optimize Power BI semantic models, DAX measures, Power Query, and reports.\n\n- Implement and optimize Direct Lake models while minimizing unnecessary DirectQuery fallback.\n\n- Design and maintain Fabric Data Agents and validate AI-generated SQL, PySpark, and DAX using Copilot/Fabric AI capabilities.\n\n- Perform end-to-end performance tuning across Spark/PySpark, SQL Warehouse, Delta tables, Data Factory, Power BI, DAX, and Fabric capacity.\n\n- Optimize Delta tables using appropriate partitioning, OPTIMIZE, VACUUM, and V-Order strategies.\n\n- Monitor workloads using Spark UI, Query Insights, Monitoring Hub, and Capacity Metrics.\n\n- Implement CI/CD using Git/Azure DevOps/GitHub and Fabric deployment pipelines.\n\n- Apply security and governance using Microsoft Entra ID, workspace roles, OneLake security, and Microsoft Purview.\n\n- Collaborate with analysts, BI developers, data scientists, and business stakeholders to deliver production-ready data solutions.\n\nRequired Skills : \n\n- 4+ years of experience in Azure Data Engineering.\n\n- Strong hands-on experience with Microsoft Fabric.\n\n- Advanced SQL/T-SQL skills.\n\n- Strong Python and PySpark experience.\n\n- Strong knowledge of Lakehouse, Warehouse, OneLake, Delta Lake, and Medallion Architecture.\n\n- Strong Power BI, DAX, semantic modeling, and Power Query skills.\n\n- Experience with Direct Lake and Power BI performance optimization.\n\n- Experience with Data Factory and Dataflows Gen2.\n\n- Strong understanding of data modeling and performance tuning.\n\n- Experience with Git, CI/CD, and deployment pipelines.\n\n- Understanding of data security, governance, and monitoring.\n\nGood to Have : \n\n- Hands-on experience building Microsoft Fabric Data Agents.\n\n- Experience with Copilot, Azure OpenAI, MLflow, or MLOps.\n\n- Knowledge of Microsoft Purview.\n\n- Experience with Real-Time Intelligence, Eventstreams, Eventhouse, or KQL.\n\n- Experience with Azure SQL, Snowflake, S3, or other external data sources.\n\n- Microsoft Fabric/Azure Data Engineering certification.\n\nEducation : \n\nBachelor's degree in Computer Science, Information Technology, Data Engineering, or a related field\nSkills\nData Engineering, Azure, Azure Data Factory, Python, PySpark, Data Modeling, Medallion Architecture, Data Governance, 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