Sr Mgr Data Engineer

Career Category

Information Systems

Join Amgen’s Mission of Serving Patients

At Amgen, if you feel like you’re part of something bigger, it’s because you are. Our shared mission—to serve patients living with serious illnesses—drives all that we do.

Since 1980, we’ve helped pioneer the world of biotech in our fight against the world’s toughest diseases. With our focus on four therapeutic areas –Oncology, Inflammation, General Medicine, and Rare Disease– we reach millions of patients each year. As a member of the Amgen team, you’ll help make a lasting impact on the lives of patients as we research, manufacture, and deliver innovative medicines to help people live longer, fuller happier lives.

Our award-winning culture is collaborative, innovative, and science based. If you have a passion for challenges and the opportunities that lay within them, you’ll thrive as part of the Amgen team. Join us and transform the lives of patients while transforming your career.

What you will do

Amgen India will be an integral part in driving growth & innovation, improving efficiency and creating enterprise value – supporting our mission “To Serve Patients”.

The Amgen India Digital Technology & Innovation Data Engineer for Clinical Data Hub will be responsible for end-to-end design, development and DevOps of data pipelines for clinical data domain across technology platform and stacks.

This role will leverage the latest technology to develop advanced data engineering pipeline and system solution to enable advanced data analytics for Amgen Clinical trial design and development. across various global clinical development business functions.

As the results, comprehensive clinical domain datasets and systems are up-to-date and ready for advanced clinical trial design and development insight generation analytics

• Design, develop, and deploy data pipeline for clinical domain dataset

• As an infrastructure programmer, continuously develop and support Data Scientist R-Platform and integration with various technology (Kubernetes Container, HashiCorp Vault, SAS Storage, and Data Science Work Bench)