MD IDS - Product Delivery - Lead AI Data Engineer
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About the role
Lilly develops medicines and eCTS supports clinical supply by helping deliver investigational medicine to patients. You will lead database engineering and modernization, build AI-enabled data flows, and make governed data available to applications and AI consumers.
What you'll do
- Maintain and improve stored procedures and database objects
- Document business rules and convert legacy logic into tested flows
- Design and optimize database schemas, queries, and migrations
- Publish governed data products and APIs with clear contracts
- Build AI-enabled solutions for clinical supply and data issues
- Automate database changes, quality checks, and operational monitoring
Skills
Must have
- SQL
- Relational database design
- Stored procedures
- Query optimization
- Data modeling
- Etl/elt
- Data migration
- Database security
- Database-as-code
- CI/CD
Nice to have
- Gxp
- Data integrity
- Computer software assurance
- Event streaming
- Change data capture
- NOSQL
- Vector databases
- Infrastructure as code
Tools
- SQL server
- Oracle
- PostgreSQL
- Azure
- AWS
- Flyway
- Liquibase
- Databricks
Who it's for
- Education
- Engineering degree
- Degree
- computer science, engineering, information systems
- Experience
- 6+ years
- Domain
- pharmaceutical clinical supply
About Eli Lilly and Company
Eli Lilly and Company has 17 open roles in Bangalore, at Lilly Bengaluru, Embassy Tech Village. See every Eli Lilly and Company role.
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