Senior Data Engineer – Microsoft Fabric & Data Integration - Pune/Chennai
On-siteChennai, Tamil Nadu, India
Job Summary
Design, build, and maintain scalable, secure data integration and analytics solutions using Microsoft Fabric, Azure Data Factory, and SQL Server. Develop enterprise platforms, modern ETL/ELT frameworks, and orchestration processes supporting ingestion, transformation, monitoring, and data quality. Participate in Specification-Driven Development by creating technical specifications and design documentation while contributing to CI/CD, production operations, and root-cause analysis. Support AI, machine learning, and generative AI initiatives within the organization's strategic roadmap. Work on a team leading the adoption of Microsoft Fabric and AI-enabled data engineering capabilities to enable analytics, reporting, and data-driven decision-making.
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
- 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
Desired 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, machine learning, generative AI, or advanced analytics
- Legacy Platform Experience (Beneficial)
- Qlik Replicate
- Qlik Compose
- Legacy ETL migration and modernization programs
- CDC and data replication architectures
- Migration of legacy data solutions into Microsoft Fabric and Azure environments
- Kimball dimensional modeling
- Fact and dimension design
- Slowly Changing Dimensions (Types 1, 2, and 3)
- Data quality and governance
- CDC and incremental loading strategies
- Metadata-driven processing
- Performance optimization and scalability
- Strong analytical, communication, and problem-solving skills
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