Join Amgen's Mission of Serving Patients. Design, build and maintain data lake solutions for scientific data that drive business decisions for Research. Collaborate with Research stakeholders and contribute to data pipeline projects from inception to deployment.
Requirements
- Design, develop, and implement data pipelines, ETL/ELT processes, and data integration solutions
- 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 efficient data solutions
- Collaborate with Data Architects, Business SMEs, Software Engineers and Data Scientists to design and develop end-to-end data pipelines to meet fast paced business needs across geographic regions
- Identify and resolve data-related challenges
- Adhere to best practices for coding, testing, and designing reusable code/component
- Explore new tools and technologies that will help to improve ETL platform performance
- Participate in sprint planning meetings and provide estimations on technical implementation
- Maintain documentation of processes, systems, and solutions
Benefits
- Competitive and comprehensive Total Rewards Plans
- Equal Opportunity employer
- Reasonable accommodation for individuals with disabilities
