Data Engineer for QMS

Overview

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.

Data Engineer (3–4 Years Experience)

Location: [Bengaluru]

Employment Type: Full-time

Department: Data Engineering / Integration Services

🔧 Key Responsibilities

• Design and build scalable data pipelines using AWS (Glue, Lambda, Redshift, S3) and Azure Data Factory.
• Develop and maintain ETL workflows for structured and semi-structured data.
• Work with Azure Databricks for data transformation, machine learning workflows, and analytics.
• Optimize performance and reliability of Azure/AWS databases.
• Collaborate with cross-functional teams to gather requirements and deliver high-quality data solutions.
• Implement CI/CD pipelines using GitHub, Jenkins, Docker, and manage DevOps deployment for data services.
  
  
  

• 3–5 years of experience in data engineering and integration development.
• Strong proficiency in Python and SQL.
• Hands-on experience with AWS and Azure services.
• Familiarity with Azure Databricks, including Databricks SQL, Data Science & Engineering.
• Knowledge of Azure Data Factory for orchestrating data workflows.
• Understanding of data modelling, data governance, and security protocols.
  
  
  

• MuleSoft Certified Developer certification.
• Experience in Pharma/manufacturing and QMS would be an added advantage
• Experience with Spark, Kafka, or other big data tools.
• Implement and manage integration solutions using MuleSoft Anypoint Platform, including API Manager and Runtime Manager.
• Knowledge of containerization (Docker, Kubernetes).
• Experience with Power BI or Tableau for visualization.
• Exposure to Agile/Scrum methodologies.
  
  
  

🎓 Education

  

• Bachelor’s degree in Computer Science, Information Technology, or related field.
  
  
  

Lilly is dedicated to helping individuals with disabilities to actively engage in the workforce, ensuring equal opportunities when vying for positions. If you require accommodation to submit a resume for a position at Lilly, please complete the accommodation request form (https://careers.lilly.com/us/en/workplace-accommodation) for further assistance. Please note this is for individuals to request an accommodation as part of the application process and any other correspondence will not receive a response.

Lilly does not discriminate on the basis of age, race, color, religion, gender, sexual orientation, gender identity, gender expression, national origin, protected veteran status, disability or any other legally protected status.

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