Clinical Data Engineer
Astellas Pharma Inc. (company site, opens in a new tab)5+ yrsBengaluruOn-siteDirect career pageEst. 18–30 LPA
Posted 2d ago
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Job description
Structured overview of role & requirements
About This Role
- Design, build, deploy, and maintain reliable clinical data pipelines, integrations, and reusable data products using Databricks and other technologies across R&D.
- Translate clinical business requirements and roadmaps into production-ready data solutions collaborating with data governance, architecture, and platform teams.
- Ensure compliance and quality by embedding data governance, metadata, lineage, and regulatory requirements such as GxP and 21 CFR Part 11, while optimizing performance and scalability.
Minimum Requirements
- Bachelor's or master's degree in Computer Science, Data Engineering, Health Informatics, Bioinformatics, Life Sciences, or related technical discipline.
- At least 5 years of experience building and supporting enterprise-scale data pipelines and reusable data products on cloud data platforms.
- Strong skills in SQL, Python, ETL/ELT, orchestration, distributed processing, APIs, and experience with Databricks, Apache Spark, Delta Lake or comparable technologies.
- Experience implementing data contracts, quality controls, metadata, lineage, automated testing, Git-based development, CI/CD, and working in Agile delivery environments.
Ideal Candidate Profile
- Experienced in clinical domain data integration involving clinical development, clinical operations, or clinical data management systems.
- Proven ability to design scalable, governed data products reusable across multiple stakeholders including analytics, AI, and application teams.
- Operates effectively in product-oriented Agile environments with strong cross-functional collaboration involving data governance, architecture, and engineering teams.