Process Data Engineer
Takeda Pharmaceutical Company LimitedMatch Score
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Job Description
Structured overview of role & requirementsAbout 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.