Senior Data Engineer – Microsoft Fabric & Data Integration - Pune/Chennai

Position Summary   We are seeking a highly skilled Senior Data Engineer to design, develop, optimize, and support modern enterprise data platforms and data integration solutions. This role is responsible for building scalable data pipelines, data warehouses, ETL/ELT frameworks, and analytics-ready data architectures utilizing Microsoft Fabric, Azure Data Factory, Fabric Data Factory, SQL Server, and associated technologies. The ideal candidate will possess deep expertise in SQL development, data warehousing methodologies, ETL/ELT best practices, and cloud-based data engineering. Our engineering organization has adopted Specification-Driven Development (SDD) as a core practice emphasizing clear requirements, technical specifications, automation, quality, and maintainability. We also view Artificial Intelligence and AI-assisted engineering as strategic investments in our future.   Key Responsibilities   Design, build, and maintain scalable, reliable, and secure data integration and analytics solutions.   Develop enterprise platforms utilizing Microsoft Fabric, Fabric Data Factory, Azure Data Factory, SQL Server, OneLake, Lakehouse, and Data Warehouse architectures.   Design and implement modern ETL and ELT frameworks supporting analytics, reporting, and operational use cases.   Develop ingestion, transformation, orchestration, monitoring, data quality, and reconciliation processes.   Participate in Specification-Driven Development practices and create technical specifications and design documentation.   Design solutions supporting AI, machine learning, generative AI, and advanced analytics initiatives.   Support CI/CD, monitoring, production operations, root-cause analysis, and continuous improvement.   Required Qualifications   Bachelor's degree in Computer Science, Information Systems, Engineering, Mathematics, or related field, or equivalent practical experience.   7 + years of experience in data engineering, data warehousing, ETL/ELT development, or related disciplines.   Experience designing and implementing enterprise-scale data warehouse and analytics platforms.   Experience with Azure cloud-based data engineering solutions and Agile delivery practices.   Required Technical Skills   Microsoft Fabric (Lakehouse, Data Warehouse, Data Factory, OneLake)   Azure Data Factory and Fabric Data Factory   SQL Server and advanced T-SQL   ETL and ELT architecture and development   Dimensional modeling and data warehouse design   Data orchestration and automation   Data governance and data quality   Git and Azure DevOps   Preferred Qualifications   Pentaho Data Integration (PDI/Kettle)   SQL Server Integration Services (SSIS)   Azure Synapse Analytics   Azure Data Lake Storage   Spark and PySpark   Power BI   Data Vault methodology   Infrastructure as Code   CI/CD for data platforms   Experience with SDD methodologies   Experience supporting AI,…