{"id":1252510,"url":"https://alion.io/job/nihilent-senior-data-engineer-microsoft-fabric","title":"Senior Data Engineer - Microsoft Fabric","company":{"id":1497,"name":"Nihilent","domain":"nihilent.com","url":"https://alion.io/company/nihilent","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":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Pune, India","Chennai, India","Kolkata, 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ETL/ELT design and implementation.\n\nMicrosoft Fabric Components:\n\n- Hands-on experience with:\n\n- Lakehouse\n\n- Data Factory\n\n- Data Pipelines\n\n- Notebooks (PySpark)\n\n- Warehouse\n\n- Semantic Models\n\n- Power BI Reporting (optional)\n\nData Engineering & Optimization:\n\n- Developing data transformation logic using PySpark and SQL.\n\n- Strong SQL programming and query optimization skills.\n\n- Experience working with Delta Lake tables and Medallion Architecture (Bronze, Silver, Gold).\n\n- Experience with Metadata-Driven ETL/ELT Frameworks.\n\n- Understanding of Incremental Data Loading, CDC (Change Data Capture), and SCD (Slowly Changing Dimensions).\n\n- Experience in data validation, reconciliation, and end-to-end testing.\n\n- Strong understanding of data quality frameworks and validation techniques.\n\n- Experience in performance tuning and optimization of ETL pipelines and SQL queries.\n\n- Ability to troubleshoot and resolve production data issues within SLA timelines.\n\n- Experience in monitoring data pipelines, job failures, and root cause analysis.\n\nAzure & DevOps (Optional):\n\n- Hands-on experience with Azure DevOps for source code management and CI/CD implementation.\n\n- Experience creating and maintaining build and release pipelines.\n\n- Knowledge of Git branching strategies and version control best practices.\n\n- Experience in deployment automation across Development, UAT, and Production environments.\n\nData Integration:\n\n- Experience integrating data from multiple source systems such as SQL Server, Oracle, SAP, REST APIs, and flat files.\n\n- Experience with incremental and full-load data ingestion patterns.\n\n- Knowledge of handling structured and semi-structured data (JSON, XML, CSV, Parquet).\n\nProject Experience:\n\n- Hands-on experience in at least one end-to-end Data Warehouse implementation project, from requirements gathering through production deployment and hypercare support.\n\n- Experience participating in solution design, technical discussions, and architecture reviews.\n\n- Ability to estimate development effort and prepare technical design documents.\n\nSoft Skills:\n\n- Strong analytical and problem-solving skills.\n\n- Excellent debugging and troubleshooting abilities.\n\n- Good communication and stakeholder management skills.\n\n- Ability to work independently and collaboratively within Agile/Scrum teams.\n\n- Willingness to mentor junior team members and participate in knowledge-sharing sessions.\n\nPreferred Skills:\n\n- Microsoft Fabric Certification (DP-700 or equivalent) is preferred.\n\n- Knowledge of Power BI and Semantic Models.\n\n- Exposure to Azure Data Factory, Azure Synapse Analytics, or Databricks/PySpark is mandatory.\n\n- Experience working in Retail, Manufacturing, or Financial Services domains is desirable.\nSkills\nMicrosoft Fabric, Data Warehousing, PySpark, SQL, Data Modeling, ETL, Power BI, BI Reporting, Semantic 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