Johnson & Johnson is seeking to solve complex data challenges in healthcare innovation, particularly in the development and commercialization of Intravascular Lithotripsy (IVL) treatments for calcified cardiovascular disease. The goal is to enable business groups to access and interpret meaningful data for reporting, advanced analytics, and AI modeling.
Requirements
- Expertise in SQL and ETL tools for data transformation and warehouse management.
- Experience working with Snowflake.
- Experience working with version control systems (Bitbucket or GitHub)
- Understanding of Power BI or other business intelligence tools.
- Familiarity with data governance, security, and compliance best practices.
- Understanding of Python, R, or other scripting languages.
Responsibilities
- Develop and maintain SQL-based data pipelines to extract, transform, and load (ETL) data from enterprise data warehouses.
- Aid in semantic model and view development within Snowflake to enable advanced, self-service analytics aligned to the newest analytical practices.
- Collaborate with team members to understand data and provide novel technical solutions.
- Experiment with new data engineering techniques and tools, embracing the unknown to drive innovation and improvement.
- Monitor data systems and implement enhancements driving performance and efficiency.
- Coordinate with IT to ensure seamless flow of data across systems, maintaining high standards of data availability and security.
Other
- Bachelor’s degree and 2+ years of experience as a Data Engineer or similar technical role.
- This is a hybrid/remote role, depending on location and business needs.
- Travel up to 20% may be required for business needs.
