Senior Data Engineer(6+ years with MS Fabric, Azure, ADF, Data Platforms only)
Wolters Kluwer (company site, opens in a new tab)6+ yrsChennaiOn-siteDirect career pageEst. 18–30 LPA
Posted 13h ago
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Job description
Structured overview of role & requirements
About This Role
- Design, develop, optimize, and operate scalable data pipelines and modern data solutions across cloud platforms supporting operational, analytical, reporting, and AI use cases.
- Build and maintain secure enterprise data integrations using APIs, event-driven patterns, and cloud-native services including MS Fabric, Databricks, Snowflake.
- Lead quality, reliability, and governance practices including data validation, monitoring, security, and compliance for production data systems.
Minimum Requirements
- 6+ years in data engineering, integration engineering, or software engineering roles.
- Bachelor’s degree in Computer Science, Engineering, Information Systems, or related discipline, or equivalent experience.
- Proven expertise with MS Fabric, Azure Data Factory, cloud data platforms (e.g. Databricks, Snowflake), SQL, Python/PySpark, and REST API development.
- Must participate in onsite interviews; candidates may be required to appear onsite at a Wolters Kluwer office during recruitment.
Ideal Candidate Profile
- Experienced working across multiple modern cloud data platforms with strong understanding of underlying data architectures and engineering principles beyond single technologies.
- Proficient in AI-assisted development workflows and integrating AI-related data solutions such as RAG, semantic models, or machine learning into data pipelines.
- Capable of operating end-to-end data solutions in production with a focus on reliability, security, governance, and CI/CD/DevOps practices in regulated environments.