Job Summary
Design, develop, and maintain scalable data pipelines and infrastructure that power essential scientific and business initiatives. This role helps ensure data is dependable, accurate, and accessible by applying effective integration, cleansing, and governance practices.
Responsibilities
- Build and maintain scalable data pipelines and supporting infrastructure.
- Support critical scientific and business efforts with reliable data systems.
- Promote data availability, quality, and integrity through robust integration, cleansing, and governance.
Qualifications
- Bachelor’s degree in Computer Science or a related discipline.
- At least five years of professional experience in data engineering.
- Hands-on skills with SQL, Python, and PySpark.
- Experience working with cloud platforms, such as AWS.
Lilly provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
