Intern - Enterprise Data at Lilly

Bengaluru, karnataka, India -

Full Time

Start Date

Immediate

Expiry Date

24 Jan, 26

Salary

0.0

Posted On

26 Oct, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Pipelines, Data Processing, AWS, Python, Data Quality, Agile Development, CloudFormation, AWS CodeBuild, AWS CodePipeline, CI/CD, Apache Airflow, Ansible, Automation Tools, PySpark, Analytical Skills, Communication Skills

Industry

Pharmaceutical Manufacturing

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. Cloud Backend Engineer 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 39,000 employees 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 globe. The Enterprise Data program is developing a fully integrated and intuitive data and analytics platform. This platform will enable Lilly team members to quickly view, access, and analyze data sets in statistical environments, advanced analytics environments, and BI/visualization tools. Contributors can easily ingest, prepare, and analyze new data sets (cleanse, enhance, publish) for others to utilize. Key responsibilities include: Knowledge building data pipelines and data processing solutions on AWS. Knowledge with auditing and data quality frameworks. Proficiency in Python for data engineering tasks. Knowledge of AWS services, including Lambda, Glue, Redshift, Aurora, RDS, and S3. Familiarity with security best practices, IAM, and policies. Agile development experience using CloudFormation, AWS CodeBuild, and AWS CodePipeline. Knowledge of CI/CD practices. Exposure to Apache Airflow, Ansible, and other automation tools. PySpark experience is a plus. Strong analytical and problem-solving skills. Excellent communication skills (both oral and written). Bachelor’s Degree in Computer Science, Engineering, or related field. Lilly is a global healthcare leader that unites caring with discovery to make life better for people around the world. For more than a century, we have stayed true to a core set of values—excellence, integrity, and respect for people—that guide us in all we do: discovering medicines that meet real needs, improving the understanding and management of disease, and giving back to communities. We also are committed to investing in our employees and supporting a culture of well-being —through competitive pay, comprehensive employee benefit programs, and training and development resources. We’re doing extraordinary things. Join us and you could be, too! 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. #WeAreLilly At Lilly we strive to ensure our employees are part of a team that cares about them and our shared purpose of making life better for those around the world. How do we do this? We continue to look for ways to include, innovate, accelerate and deliver while maintaining integrity, excellence and respect for people. We hope that you seek to join us on our journey as we create medicine and deliver improved outcomes for patients across the globe! #WeAreLilly

Responsibilities

Key responsibilities include building data pipelines and data processing solutions on AWS. Contributors will also work with auditing and data quality frameworks.