Process Data Engineer
Takeda Pharmaceutical Company Limited (company site, opens in a new tab)3+ yrsBengaluruOn-siteDirect career pageEst. 12–22 LPA
Posted 15d ago
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Job description
Structured overview of role & requirements
About This Role
- Design and implement complex manufacturing data-driven solutions impacting daily operations across global manufacturing sites.
- Develop and maintain scalable data pipelines using AWS and Databricks supporting diverse data sources and volumes.
- Enable process trending, real-time and predictive analytics in a GxP environment to improve product quality and efficiency.
Minimum Requirements
- Bachelor’s Degree in Computer Science, Technical, or Natural Science with IT focus or equivalent.
- In-depth knowledge of SQL and relational databases; experience with Databricks, Oracle, MongoDB.
- Basic understanding of batch-based manufacturing processes and shop-floor systems (MES, ERP, LIMS, Historian).
- Work Experience Required: Not explicitly mentioned in the JD (3+ years data engineering experience is nice to have).
Ideal Candidate Profile
- Experience in regulated industries such as pharmaceutical or chemical sectors with understanding of GxP and Computer Systems Validation (GAMP).
- Familiarity with Agile/SCRUM methodologies and good engineering practices including DevSecOps and automated testing.
- Strong capability to collaborate with cross-functional teams and improve data models supporting business intelligence and decision-making.