Data Engineer

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July 29

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Amgen

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Biotechnology • Pharmaceuticals • Science

Amgen is a global leader in biotechnology, focusing on the development and commercialization of innovative medicines made from living cells. The company aims to treat serious illnesses, often targeting diseases with limited therapeutic options. Amgen emphasizes scientific innovation and is committed to ethical research, patient safety, and environmental sustainability. It actively engages in clinical trials and is known for its contributions to the fields of cancer treatment and obesity management among others.

10,000+ employees

Founded 1980

🧬 Biotechnology

💊 Pharmaceuticals

🔬 Science

💰 $28.5G Post-IPO Debt on 2022-12

📋 Description

• Join Amgen’s Mission of Serving Patients • Responsible for end-to-end design, development and DevOps of data pipelines for clinical data domain • Develop advanced data engineering pipeline and system solution to enable advanced data analytics • Design, develop, and deploy data pipeline for clinical domain dataset • Continuously develop and support Data Scientist R-Platform • Collaborate with Data Architects, Business SME’s, and Data Scientists

🎯 Requirements

• Master's degree / Bachelor's degree and 5 to 9 years • Advanced skills in SQL, Python, and R languages programming; AWS cloud technology and databricks data lake technology stacks • Proficient skills and knowledge on common AI/Machine Learning technologies. • Data modeling skills, and software development lifecycle knowledge and standard processes • Learning ability of new technology in the information field • Skill of using DevOps CI/CD tools, such Git, Jenkins and front UI Visualization technology • Work experience in the biotechnology or pharmaceutical industry (Good to Have) • Experience using and adopting Scaled Agile Framework (SAFe) (Good to Have) • Ability to work effectively in a fast-paced, dynamic environment (Good to Have) • Hands-on experience with SQL (PostgreSQL and Hive SQL is preferred) (Good to Have) • Experience with UI Visualization technology (Dash, RSConnect, Tableau preferred) (Good to Have) • Knowledge and experience in clinical trial design and development process and technology landscape, familiar with clinical trial data standards and structures (Good to Have) • SAFe for Teams certification (preferred) (Certification)

🏖️ Benefits

• Competitive and comprehensive Total Rewards Plans • Collaborative culture • Professional and personal growth and well-being support