Roche is a global pioneer in pharmaceuticals and diagnostics focused on advancing science to improve people’s lives. The combined strengths of pharmaceuticals and diagnostics under one roof have made Roche the leader in personalised healthcare – a strategy that aims to fit the right treatment to each patient in the best way possible. Roche is the world’s largest biotech company, with truly differentiated medicines in oncology, immunology, infectious diseases, ophthalmology and diseases of the central nervous system. Roche is also the world leader in in vitro diagnostics and tissue-based cancer diagnostics, and a frontrunner in diabetes management. Founded in 1896, Roche continues to search for better ways to prevent, diagnose and treat diseases and make a sustainable contribution to society. The company also aims for improving patient access to medical innovations by working with all relevant stakeholders.
People and Culture vision is built on the premise that what makes companies great is people, and analytics is able to unlock their full potential. We wish to unleash exponential people & business impact through data driven decisions, surfacing insights and embracing cutting-edge technology.
As a People and Culture Data Engineer, your work will impact the way Roche functions throughout our candidate and employee lifecycle. Your work will impact every facet of our quest to cure and treat diseases for our patients and you will personally help shape and define this journey. If you are interested in helping us transform into a more diverse, transparent, inclusive, collaborative and agile team – this role is for you.
We are looking for a Data Engineer to work on our impactful and dynamic team. This Data Engineer will work closely with other Data Scientists, Data Engineers, Business Intelligence Developers, Insights Partners and Product Owners to deliver products to our employees including the most senior leaders. Key technical role in the design and build of data management systems and data pipelines related to advanced analytics and data science platforms.
Key Responsibilities:
Develop and maintain scalable data pipeline(s) Build new API integrations Design data integration and framework Work closely with data governance and technology practice areas Understand and maintain data schemas and architectures Choose proper storage technologies to drive both Data Science and Applications Understand and architect ETL processes Architect and maintain analytics data lake/warehouse Architect and build front-end applications Synthesize requirements from non-technical stakeholders
Qualifications, Skills & Knowledge:
Required:
AWS (S3, EC2, Glue) RDBMS and NoSQL technologies Python Production software development experience (git, testing, code reviews) Production Deployment of Machine Learning models Javascript (Vue.js)
Familiar (and willingness to learn more of):
Docker CSS HTML
Preferred experience & background:
5 to 10 years experience in the data engineering field, with strong analytical, solution architecting and design skills / background. University degree in Computer Science or comparable education.
