Career Category
Information Systems
Job Description
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 reliable 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 creative medicines to help people live longer, fuller happier lives.
Our award-winning culture is collaborative, creative, 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.
Data Engineer -R&D-Multi; Omics
What you will do
Let’s do this. Let’s change the world.



In this vital role you will be responsible for development and maintenance of software in support of target/biomarker discovery at Amgen.
Design, develop, and implement data pipelines, ETL/ELT processes, and data integration solutions
Contribute to data pipeline projects from inception to deployment, manage scope, timelines, and risks
Contribute to data models for biopharma scientific data, data dictionaries, and other documentation to ensure data accuracy and consistency
Optimize large datasets for query performance
Collaborate with global cross-functional teams including research scientists to understand data requirements and design solutions that meet business needs
Implement data security and privacy measures to protect sensitive data
Leverage cloud platforms (AWS preferred) to build scalable and productive data solutions
Collaborate with Data Architects, Business SMEs, Software Engineers and

📌 Data Engineer – R&d Multi Omics Hyderabad
🏢 AMGEN
📍 Hyderabad