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

Wolters Kluwer N.V.; Pune District; On-site; INR 3,500,000 - 7,500,000; Full time

Job summary

Wolters Kluwer N.V. in Pune, India seeks a Senior Data Engineer to design and optimize enterprise data platforms, focusing on scalable pipelines, data warehouses, ETL/ELT, and analytics-ready architectures using Microsoft Fabric and Azure Data Factory.

The role emphasizes building secure data solutions, supporting AI initiatives, and enabling data-driven decision making within a modern data ecosystem.

Qualifications

• Bachelor’s degree or equivalent in a related field.
• 7+ years of experience in data engineering, warehousing, or ETL/ELT development.

Responsibilities

• Design, build, and maintain scalable data integration and analytics solutions.
• Develop platforms using Microsoft Fabric, Fabric Data Factory, Azure Data Factory, SQL Server, and related architectures.
• Design and implement modern ETL/ELT frameworks for analytics, reporting, and operations.
• Develop ingestion, transformation, orchestration, monitoring, data quality, and reconciliation processes.
• Create technical specs and design documentation as part of Specification-Driven Development.
• Support AI, ML, and advanced analytics initiatives.
• Assist CI/CD, monitoring, production operations, and continuous improvement.

Skills

Analytical thinking

Communication

Problem solving

Leadership

Education

Bachelor's degree in CS/IS/Engineering/Math

Tools

Microsoft Fabric

Azure Data Factory

SQL Server

OneLake

Lakehouse

Data Warehouse

ETL/ELT frameworks

Git

Azure DevOps

Azure Synapse Analytics

Power BI

Job description

Position Summary

Senior Data Engineer responsible for designing, developing, optimizing, and supporting modern enterprise data platforms and integration solutions, focusing on scalable data pipelines, data warehouses, ETL/ELT frameworks, and analytics-ready architectures using Microsoft Fabric, Azure Data Factory, SQL Server, and related technologies.

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.

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, 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

Knowledge & Competencies

• 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

Success Criteria

• Build scalable, secure, and reliable enterprise data pipelines and integration solutions.
• Deliver optimized Microsoft Fabric warehouse and lakehouse solutions.
• Establish and follow ETL/ELT best practices and engineering standards.
• Improve data quality, reliability, and accessibility.
• Enable analytics, reporting, AI, and data‑driven decision making.
• Deliver high‑quality solutions through disciplined Specification‑Driven Development practices.
• Actively contribute to the organization’s AI strategy through architecture, automation, and innovation.
• Help establish modern engineering practices that improve productivity, quality, and maintainability.
• Work on a team leading in the adoption of Microsoft Fabric and AI‑enabled data engineering capabilities.

Interview Practices

To maintain a fair hiring process, we ask all candidates to conduct interviews without the assistance of AI tools or external prompts.

Equal Opportunity Statement

All qualified applicants will receive consideration without regard to race, color, religion, sex (including pregnancy, gender identity, transgender status, and sexual orientation), national origin, disability, age, genetic information, veteran status, or any other characteristic protected by applicable law. We do not tolerate discrimination on any of these bases.