To design, develop, and maintain data solutions for analytics, reporting, and integrations to advance Lilly's purpose of creating medicines that make life better for people around the world.
Requirements
- SQL
- Python
- PowerBI
- AWS Glue
- ETL/ELT
- Data visualization
- ML Ops
Responsibilities
- Design and implement data pipelines using modern technology platforms.
- Develop technical solutions which combine disparate information to create significant insights for business partners.
- Operate with a quality mentality, always considering the impact of design decisions on the long-term support and maintenance of data pipelines.
- Ensure data integrity, security, and privacy requirements are met.
- Perform tasks related to data ingestion, quality, transformation, mapping, documentation, movement, cleansing, and modeling using various tools and languages such as SQL, Python, PowerBI, AWS Glue, etc.
- Work with different data sources and formats such as files, APIs, and databases and understand the basic concepts of ETL/ELT, data visualization, and ML Ops.
Other
- Actively learn and apply technology, techniques, and tools.
- Participate in the Global ELITE+ program for leadership and foundational technical skill-building, mentoring as-needed, networking opportunities, and more.
- Join the People Experience journey to invest in Team Lilly, promote learning and growth, cultivate inclusion, and create medicines and medical capabilities for the future.
