Position Summary

We are seeking a highly skilled Senior Data Engineer to design, develop, optimize, and support contemporary 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 discipline

📌 Senior Data Engineer – Microsoft Fabric (Pune)
🏢 Wolters Kluwer
📍 Pune