Eli Lilly Services India Pvt Ltd
healthcare
SeniorConsultant-ConsumerAnalyticsDataEngineering
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“Senior Consultant - Consumer Analytics Data Engineering at Eli Lilly Services India Pvt Ltd. Skills: Databricks platform, AWS data engineering, Consumer analytics data engineering, Lakehouse architectures, Semantic layer design, AI agent development. Design, develop, and implement scalable ETL/ELT pipelines. Architect and manage end-to-end solutions on Databricks”
What You'll Achieve.
making life better for patients; design and execute the next-generation marketing campaigns; power advanced analytical solutions and AI/agentic workflows for consumer insights; performance and cost efficiency; support complex analytical queries and reporting requirements; efficiency, reliability, and SLA adherence
Industry & Context.
Excellent problem-solving; Troubleshoot and resolve data-related issues; Performing root cause analysis
What They're Looking For.
Must Have
Bachelor's or Master's degree in Computer Science, Engineering, Information Technology, or a related quantitative field, 8+ years of data engineering experience with hands-on production experience on Databricks, proficiency in Python and advanced SQL for complex analytical workloads, Deep knowledge of Databricks platform architecture — Unity Catalog, Delta Lake, Databricks Workflows, Databricks SQL, and cluster/compute management, Solid experience with AWS data stack: S3, Glue, Redshift, Lambda, and IAM, Experience designing lakehouse architectures (medallion/multi-hop patterns) at scale and with ETL/ELT orchestration tools, understanding of data warehousing concepts, dimensional modeling, and data governance principles, Hands-on experience building semantic layers (e.g., dbt metrics, Databricks AII semantic layer) and creating AI agents or agentic pipelines (Databricks AI Functions etc.), Excellent problem-solving, communication, and stakeholder collaboration skills
Nice to Have
Familiarity with Software Development Life Cycle (SDLC) practices — including version control (Git), CI/CD pipelines, code reviews, and agile development methodologies
What You'll Do.
and implement scalable ETL/ELT pipelines
Architect and manage end-to-end solutions on Databricks
Design multi-hop lakehouse architectures
Leverage AWS data services
Architect and optimize data models and schemas
Design and publish semantic layers
Build and deploy agentic workflows
Collaborate with data scientists
Partner to productionize ML models and feature stores on Databricks
Implement automation for data ingestion
Troubleshoot and resolve data-related issues
Mentor other data engineers
Contribute to engineering standards
and comprehensive documentation
Stay current with Databricks platform updates
and emerging best practices
How You'll Work.
Team & Collaboration
Collaborate with data scientists, business analysts, and marketing teams; Partner to productionize ML models and feature stores on Databricks; Contribute to engineering standards, code reviews, knowledge sharing
Communication Scope
Excellent communication
Process & Methodology
agile development methodologies
Full Job Description
At Lilly, we unite caring with discovery to make life better for people around the world. We are a global healthcare leader headquartered in Indianapolis, Indiana. Our employees around the world work to discover and bring life-changing medicines to those who need them, improve the understanding and management of disease, and give back to our communities through philanthropy and volunteerism. We give our best effort to our work, and we put people first. We’re looking for people who are determined to make life better for people around the world. **Eli Lilly Services India Pvt Ltd** **Senior Consultant, Consumer Analytics Data Engineering** As Eli Lilly strives to achieve its purpose of making life better for patients, we have been building up our in-house ‘Consumer Experience’ function, which designs and executes the next-generation marketing campaigns aimed at informing and educating consumers (or patients) directly. We are seeking a highly skilled Senior Consultant to lead consumer analytics data engineering initiatives at Lilly, Bengaluru. This role is primarily focused on the Databricks platform and AWS ecosystem, designing and maintaining robust data pipelines, lakehouse architectures, and semantic layers that power advanced analytical solutions and AI/agentic workflows for consumer insights. The ideal candidate brings deep hands-on Databricks expertise, good AWS data engineering skills, and a working knowledge of semantic layer design and AI agent development. The role will be a blend of technical expertise along with business/domain integration. **Job Responsibilities:** * Design, develop, and implement scalable ETL/ELT pipelines for extracting, transforming, and loading consumer data from various sources (e.g., CRM, marketing platforms, DCM, GA4, digital channels), with Databricks/AWS as the primary execution platform. * Architect and manage end-to-end solutions on Databricks including Unity Catalog, Delta Live Tables, Databricks Workflows, Databricks SQL, etc
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