Eli Lilly and Company seeks a Data Engineer (P3-P5) to accelerate the delivery of data solutions for analytics projects and business operations. Design, develop, and maintain data solutions to ensure availability and quality of data for business transactions. Design and implement efficient data storage, processing, and retrieval solutions. Build data pipelines and optimize database designs. Perform data integration, acquisition, cleansing, harmonization, and transformation. #LI-DNI
Position requires a Bachelor's degree in Computer Science, Computer Engineering, or a closely related field followed by 5 years of progressively responsible experience with designing large-scale data models for functional, operational, and analytical environments. In the alternative, employer will accept a Master's degree in Computer Science, Computer Engineering, or a closely related field and 3 years of experience with designing large-scale data models for functional, operational, and analytical environments. Experience must include a minimum of: 3 years of experience with SQL, data visualization tools, and AWS technologies; 3 years of experience with security models and development on large data sets; 3 years of experience with developing database solutions and formal database designs; 3 years of experience with Agile development, CI/CD, Jenkins, GitHub, and automation platforms; and 3 years of experience reviewing database design patterns and deployment strategies. Up to 10% domestic travel required. #LI-DNI
To apply, please visit https://jobsearch.lilly.com/ and enter job requisition number R-103507 when prompted. Alternatively, please send your resume, cover letter, and a copy of the ad to: Matthew Tenaglio, Corporate Center, Indianapolis, IN 46285.
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