Elsevier, a global leader in information and analytics, is seeking a Senior Data Engineer I to join their Research Data Platform team. This role is crucial in building and maintaining scalable data infrastructure that powers their research and product offerings. The position offers an opportunity to work with cutting-edge technologies and contribute to scientific and healthcare solutions.
The ideal candidate will be responsible for designing and developing big data applications and pipelines, working with cloud platforms (primarily AWS), and implementing best practices for data modeling and processing. They will collaborate with team members to understand complex data requirements and deliver effective solutions.
The role requires expertise in data engineering principles, programming languages (Java, Scala, Python), and experience with modern data stack components including Spark, Delta Lake, and various AWS services. Knowledge of CI/CD pipelines, version control, and Agile methodologies is essential.
Elsevier offers an excellent work environment with a strong focus on work-life balance. The company provides comprehensive benefits including profit sharing, pension scheme, flexible working arrangements, and various wellness programs. This is an opportunity to make a meaningful impact while working with a team dedicated to advancing science and improving health outcomes through innovative technology and data-driven solutions.