Sr Mgr Data Engineer

Job title: Sr Mgr Data Engineer

About the Role Amgen India's Digital Technology & Innovation team seeks a Data Engineer to design, develop, and operate end-to-end data pipelines for the Clinical Data Hub. The role enables advanced analytics to support clinical trial design and development by ensuring up-to-date, harmonized datasets and scalable pipeline solutions across platforms.

What You'll Do

• Design, develop, and deploy data pipelines for clinical domain datasets.
• Lead end-to-end design, development, and DevOps of data pipelines across technology platforms and stacks.
• Continuously develop and support Data Scientist R-Platform and integration with Kubernetes containers, HashiCorp Vault, SAS Storage, and Data Science Work Bench.
• Design and build reusable program components using NLP, AI, Python, R, etc., to transform and harmonize clinical datasets for insight generation.
• Collaborate with Data Architects, Business SMEs, and Data Scientists to capture business requirements and translate into an Agile product backlog.
• Serve as primary data engineer to manage and support AWS, Databricks, RStudio platform, and cloud AI-based system production DevOps.
• Align to best practices for coding, testing, and designing reusable code/components.
• Explore new tools and technologies to streamline data pipelines and add durable capabilities for clinical development.
• Participate in sprint planning.

What We're Looking For

• Experience in end-to-end design, development, and DevOps of data pipelines for clinical data across platforms.
• Ability to translate business requirements into Agile product backlog and work with Data Architects, SMEs, and Data Scientists.
• Proficiency with AWS, Databricks, and RStudio, and experience managing production DevOps in cloud/AI environments.
• Familiarity with Kubernetes containers, HashiCorp Vault, SAS Storage, and Data Science Work Bench.
• Experience designing reusable components using NLP, AI, Python, R; strong data wrangling and dataset harmonization skills.

Nice to Have

• Experience with cloud AI-based systems and modern data engineering toolchains.
• Familiarity with Agile/sprint processes and modern DevOps practices.
• Knowledge of additional data engineering tools and platforms as they pertain to clinical data.