Process Data Engineer I - Pharmaceutical Product Development
Bristol Myers Squibb (company site, opens in a new tab)2+ yrsHyderabadOn-siteDirect career pageEst. 10–16 LPA
Posted 11h ago
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Job description
Structured overview of role & requirements
About This Role
- Build and maintain scalable scientific data pipelines and products supporting pharmaceutical product development including molecular, manufacturing, and laboratory datasets.
- Contribute to data structuring, contextualization, and automation to enhance data accessibility, quality, and readiness for AI and scientific modeling.
- Collaborate with cross-functional teams on enterprise cloud-native data initiatives using Databricks, Data Fabric, and modern data engineering practices.
Minimum Requirements
- Bachelor's or Master’s degree in Computer Science, Chemical Engineering, Information Systems, Bioinformatics, Biotechnology or related field.
- 2+ years of industry experience in data engineering or related role.
- Hands-on experience with SQL, Python, ETL/ELT development, Databricks, Delta Lake, and cloud data platforms.
- Experience or knowledge of pharmaceutical product development datasets or scientific/laboratory data is strongly preferred but not strictly mandatory.
Ideal Candidate Profile
- Experienced in building and optimizing data pipelines specifically for scientific or pharmaceutical data domains with attention to data quality and modeling.
- Familiar with modern data engineering architectures such as Data Lakehouse, Medallion Architecture, and cloud platforms like AWS and Databricks.
- Able to work effectively cross-functionally with scientists, data scientists, and engineers to translate complex scientific data needs into scalable data products.