Nihilent - Senior Data Engineer - Microsoft Fabric

Experience:- Overall 6+ years of experience in Azure Data Engineering and Data Warehousing.- At least 2-3 years of hands-on experience with Microsoft Fabric.Technical Skills:- Strong understanding of Data Warehousing concepts, architecture, and best practices.- Hands-on experience in designing and implementing Enterprise Data Warehouse (EDW) solutions.- Good experience in Dimensional Data Modeling using Star and Snowflake schema techniques.- Strong knowledge of ETL/ELT design and implementation.Microsoft Fabric Components:- Hands-on experience with:- Lakehouse- Data Factory- Data Pipelines- Notebooks (PySpark)- Warehouse- Semantic Models- Power BI Reporting (optional)Data Engineering & Optimization:- Developing data transformation logic using PySpark and SQL.- Strong SQL programming and query optimization skills.- Experience working with Delta Lake tables and Medallion Architecture (Bronze, Silver, Gold).- Experience with Metadata-Driven ETL/ELT Frameworks.- Understanding of Incremental Data Loading, CDC (Change Data Capture), and SCD (Slowly Changing Dimensions).- Experience in data validation, reconciliation, and end-to-end testing.- Strong understanding of data quality frameworks and validation techniques.- Experience in performance tuning and optimization of ETL pipelines and SQL queries.- Ability to troubleshoot and resolve production data issues within SLA timelines.- Experience in monitoring data pipelines, job failures, and root cause analysis.Azure & DevOps (Optional):- Hands-on experience with Azure DevOps for source code management and CI/CD implementation.- Experience creating and maintaining build and release pipelines.- Knowledge of Git branching strategies and version control best practices.- Experience in deployment automation across Development, UAT, and Production environments.Data Integration:- Experience integrating data from multiple source systems such as SQL Server, Oracle, SAP, REST APIs, and flat files.- Experience with incremental and full-load data ingestion patterns.- Knowledge of handling structured and semi-structured data (JSON, XML, CSV, Parquet).Project Experience:- Hands-on experience in at least one end-to-end Data Warehouse implementation project, from requirements gathering through production deployment and hypercare support.- Experience participating in solution design, technical discussions, and architecture reviews.- Ability to estimate development effort and prepare technical design documents.Soft Skills:- Strong analytical and problem-solving skills.- Excellent debugging and troubleshooting abilities.- Good communication and stakeholder management skills.- Ability to work independently and collaboratively within Agile/Scrum teams.- Willingness to mentor junior team members and participate in knowledge-sharing sessions.Preferred Skills:- Microsoft Fabric Certification (DP-700 or equivalent) is preferred.- Knowledge of Power BI and Semantic Models.- Exposure to Azure Data Factory, Azure Synapse Analytics, or Databricks/PySpark is mandatory.- Experience working in Retail, Manufacturing, or Financial Services domains is desirable. (ref:hirist.tech)