Data Engineer (Analytics)
NavaFull Time
Junior (1 to 2 years)
Candidates should possess a Bachelor’s degree in Information Technology or a related field, along with a minimum of 3 years of work experience in Information Technology DevOps and 3 years of hands-on experience with AWS Services such as S3, RDS, Lambda, Glue, EC2, Redshift, CloudWatch, CloudTrail, and IAM, complemented by 3 years of experience utilizing GitHub and CI/CD for deployments.
The Enterprise Data Management - Operations Engineer will report to an Executive Director in Indianapolis, working closely with data engineers, business analysts, quality, data owners, and stakeholders to efficiently manage, monitor, and optimize the flow of quality data for data sharing and analytics, including resolving incidents and problems, managing technology lifecycle changes, and conducting configuration changes.
Develops and delivers prescription medicines globally
Eli Lilly and Company is a global pharmaceutical company that focuses on discovering, developing, and delivering medicines to improve health. The company has a long history of scientific achievements, including the creation of insulin, the first life-saving treatment for diabetes. Lilly's operations involve extensive research and development to create new medications and enhance existing ones, ensuring they are safe and effective. Their products are primarily prescription medicines sold to healthcare providers for various medical conditions, including diabetes, cancer, and pain management. What sets Lilly apart from its competitors is its strong commitment to ethical practices and the protection of its products from counterfeiting. The company's goal is to enhance lives through innovative medical solutions while maintaining high standards of quality and ethics.