Career Category Information SystemsJoin Amgenxe2x80x99s Mission of Serving PatientsAt Amgen, if you feel like youxe2x80x99re part of something bigger, itxe2x80x99s because you are. Our shared missionxe2x80x94to serve patients living with serious illnessesxe2x80x94drives all that we do.Since 1980, wexe2x80x99ve helped pioneer the world of biotech in our fight against the worldxe2x80x99s toughest diseases. With our focus on four therapeutic areas xe2x80x93Oncology, Inflammation, General Medicine, and Rare Diseasexe2x80x93 we reach millions of patients each year. As a member of the Amgen team, youxe2x80x99ll 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, youxe2x80x99ll thrive as part of the Amgen team. Join us and transform the lives of patients while transforming your career.Data Engineer - R&D Precision MedicineWhat you will doLetxe2x80x99s do this. Letxe2x80x99s change the world. In this vital role, you will be responsible for the end-to-end development of an enterprise analytics and data mastering solution using Databricks and Power BI. This role requires expertise in both data architecture and analytics, with the ability to create scalable, reliable, and impactful enterprise solutions that research cohort-building and advanced research pipeline. The ideal candidate will have experience creating and surfacing large unified repositories of human data, based on integrations from multiple repositories and solutions, and be extraordinarily skilled with data analysis and profiling.You will collaborate closely with key customers, product team members, and related IT teams, to design and implement data models, integrate data from various sources, and ensure best practices for data governance and security. The ideal candidate will have a good background in data warehousing, ETL, Databricks, Power BI, and enterprise data mastering.
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