Senior Data Engineer I
Novo Nordisk (company site, opens in a new tab)8+ yrsBengaluruOn-siteDirect career pageEst. 30–45 LPA
Posted 12h ago
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Job description
Structured overview of role & requirements
About This Role
- Lead end-to-end engineering of cloud data pipelines, models and integrations for Manufacturing and Supply Chain.
- Build and optimise Databricks workflows and trusted, AI-ready datasets for forecasting, optimisation and self-service insights; maintain platform stability, security, governance and cost efficiency.
- Improve data quality and observability, reduce incidents, and contribute reusable engineering standards while mentoring junior engineers.
Minimum Requirements
- Work Experience Required: 8+ years in data engineering.
- Strong SQL, Python and Spark skills; hands-on Databricks experience with notebooks, orchestration, workflows, Delta Lake and Unity Catalog.
- Experience with Azure Data Factory, Azure Databricks and GitHub, plus infrastructure as code and CI/CD deployment processes.
- Experience implementing data quality frameworks, rules and code quality checks in the development lifecycle.
Ideal Candidate Profile
- A hands-on engineer experienced in building and operating production-grade data platforms across cloud and Databricks environments.
- Supply chain systems experience in planning, logistics or warehousing is useful, but not essential.
- Experience with ML workflows, MLOps or Databricks ML may strengthen fit; the role also involves cross-functional work with supply chain, AI and platform teams in a global setting.