Senior Consultant - Consumer Analytics Data Engineering

Eli Lilly UK

Bengaluru, India
**
8+ years data engineering experience
Databricks platform expertise required
Aws ecosystem proficiency s3 glue redshift
** Eli Lilly is seeking a Senior Consultant in Consumer Analytics Data Engineering to lead data engineering initiatives focused on consumer insights, primarily utilizing the Databricks platform and AWS ecosystem. The role requires extensive experience in data engineering, particularly with Databricks, as well as strong problem-solving skills and the ability to collaborate cross-functionally. **

Job Summary

  • This role focuses on building next-generation marketing campaigns by designing robust data pipelines for consumer insights within the healthcare sector.
  • The ideal candidate will lead initiatives on the Databricks platform and AWS ecosystem to support advanced analytical solutions and AI-driven workflows.
  • Eli Lilly is a global healthcare leader dedicated to making life better for patients through discovery and innovation.

Matching Summary

Match Score: 75

** Eli Lilly is seeking a Senior Consultant in Consumer Analytics Data Engineering to lead data engineering initiatives focused on consumer insights, primarily utilizing the Databricks platform and AWS ecosystem. The role requires extensive experience in data engineering, particularly with Databricks, as well as strong problem-solving skills and the ability to collaborate cross-functionally. **

Skills & Requirements

Must-have

  • 8+ years data engineering experience
  • Databricks platform expertise required
  • AWS ecosystem proficiency S3 Glue Redshift
  • Python PySpark SQL advanced skills
  • Lakehouse architecture design Bronze Silver Gold

Nice-to-have

  • Semantic layer design experience
  • AI agent development knowledge
  • Unity Catalog governance implementation
  • Mentoring junior engineers capability
  • Agile SDLC practices familiarity

Key Requirements

  • Bachelor's or Master's degree in Computer Science or related field
  • Minimum 8 years of hands-on production data engineering experience
  • Advanced proficiency in Python, PySpark, and complex SQL

Work Rights

Not specified

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