Sr Associate Data Engineer
AmgenHyderabad, Telangana, India
Posted March 5, 2026
Full Time
About the Company
Amgen harnesses the best of biology and technology to fight the world’s toughest diseases, and make people’s lives easier, fuller and longer. We helped establish the biotechnology industry, and we remain on the cutting-edge of innovation, using technology and human genetic data to push beyond what’s known today. Our investment in research and development has yielded a robust pipeline that builds on our existing portfolio of medicines to treat cancer, heart disease, osteoporosis, inflammatory diseases and rare diseases. Amgen is one of 30 companies comprising the Dow Jones Industrial Average®, and part of the Nasdaq-100 Index®. In 2024, Amgen was named one of the “World’s Most Innovative Companies” by Fast Company and one of “America’s Best Large Employers” by Forbes. For more information, visit Amgen.com and follow us on X, LinkedIn, Instagram, TikTok, YouTube and Threads. 🔗 Community Guidelines: https://wwwext.amgen.com/community-guidelines 🔗Global Privacy Statement Directory: www.amgen.com/dp Special Advisory: Please be cautious of scam recruitment offers claiming to be from Amgen. Such scams may come from various sources, including fake websites and/or unsolicited emails and seek to obtain personal data or payment from victims by offering jobs that do not exist. Please be advised that Amgen would never ask for payment to progress a job application. When in doubt, please check to see if the position in question is posted on this website before applying. Additionally, please report any suspicious recruiting activity to https://complaint.ic3.gov/ and thank you for your assistance.
Job Description
In this role, you will serve as a contributor to Amgen's Global Supply Chain Analytics team, assisting in the development of data and AI-powered products within the distribution sector.
Requirements
- Design, develop, and maintain data solutions for data generation, collection, and processing
- Create data pipelines and ensure data quality by implementing ETL processes to migrate and deploy data across systems
- Develop and maintain data models, data dictionaries, and other documentation to ensure data accuracy and consistency
- Leverage cloud platforms (AWS preferred) to build scalable and efficient data solutions
- Support generation of annual product review documents, regulatory inspections, and process documentation
- Work with data engineers on data quality assessment, data cleansing and data analytics
Benefits
- Generous Paid Time Off
- 401k Matching
- Retirement Plan
- Visa Sponsorship