Analytics Engineer III
On-site · Hyderabad, Telangana, India
Job Summary
Analytics Engineer III at Bristol Myers Squibb ( Hyderabad, India ) leading end-to-end data and ML engineering across enterprise analytics platforms. Own design, build, and operation of data engineering and ML engineering systems powering analytics, data science, and AI/ML at scale. Hands-on delivery of enterprise-grade data products, ML pipelines, and platform infrastructure; collaborate with US counterparts, data scientists, and platform teams; contribute to team standards, code reviews, and junior engineer growth. Focus areas include Databricks lakehouse pipelines (Delta Lake, Unity Catalog, DLT), CI/CD for data & ML, feature engineering and model deployment/monitoring, MLOps platform components (experiments, model registries, CI/CD for ML, feature stores), observability (Great Expectations, Pandera, Evidently, Prometheus, Grafana), and governance (Unity Catalog, IAM, GxP/HIPAA). Comfortable with cloud migrations to AWS, Databricks, and Kubernetes; able to operate across databricks, Spark, Python, SQL, and containerized environments; collaborative across Data Science, Data Engineering, IT, and international teams. Adheres to pharmaceutical data governance standards and communicates technical decisions via documentation and RFCs. On-site occupancy with potential hybrid/remote design depending on role. “Transforming patients’ lives through science” follows the company’s purpose and values.
Required Qualifications
- Bachelor's, Master's, or Ph.D. in Computer Science, Data Engineering, Data Science, or related field
- 5+ years hands-on data engineering and/or MLOps experience
- Proven track record building and owning enterprise-scale data products and ML pipelines end-to-end in production
- Deep Databricks hands-on — Lakehouse, Delta Lake optimization, Unity Catalog, Workflows, DABs
- Experience leading cloud migration or modernization to Databricks, AWS, or Kubernetes at scale
- Familiarity with healthcare/clinical data, regulatory considerations (GxP, HIPAA), and pharmaceutical data governance
- Experience with AI-augmented engineering tools (Claude Code, Copilot) to streamline workflows
- Cross-geo collaboration with US-based teams strongly preferred
- Databricks Certification (Data Engineer Associate/Professional) or cloud certification (AWS / Azure / GCP)
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