Analytics Engineer III
Bristol Myers Squibb (company site, opens in a new tab)5+ yrsHyderabadOn-siteDirect career pageEst. 22–36 LPA
Posted on 3 Sept
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Job description
Structured overview of role & requirements
About This Role
- Design, build, and operate enterprise-scale data engineering and ML engineering systems on Databricks for analytics, data science, and AI/ML use cases at Bristol Myers Squibb.
- Deliver and maintain production-grade data and ML pipelines, ensuring scalability, reliability, and compliance with pharmaceutical standards including GxP and HIPAA.
- Lead cloud migration and modernization initiatives, collaborate across US and Hyderabad teams, and contribute to team standards, code reviews, and junior engineer development.
Minimum Requirements
- Bachelor's or higher degree in Computer Science, Data Engineering, Data Science, or related field.
- At least 5 years of hands-on experience in data engineering and/or MLOps, preferably in biopharma or life sciences industry.
- Proven experience with Databricks Lakehouse platform including Delta Lake, Unity Catalog, Workflows, and Databricks Asset Bundles.
- Experience with cloud platforms (AWS, Azure), Kubernetes, pharma regulatory standards (GxP, HIPAA), and cross-geo collaboration preferred.
Ideal Candidate Profile
- Senior individual contributor with deep practical expertise in Databricks Lakehouse and MLOps building scalable pipelines end-to-end in production.
- Experienced in leading cloud migration/modernization initiatives at enterprise scale involving AWS, Kubernetes, and Databricks.
- Comfortable operating in regulated pharmaceutical environment ensuring compliance and collaborating effectively with US counterparts and cross-functional teams.