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Data Engineer

3 months ago

Indianapolis, United States Eli Lilly Full time

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.

Note: Lilly does not anticipate providing sponsorship for employment visa status (e.g., H-1B or TN status) for this employment position now or in the future.

Do you enjoy learning new knowledge domains and answering engaging questions?

The Global Services Tech at Lilly team is actively seeking a data engineer in Indianapolis, IN to partner with internal business and Tech at Lilly partners to accelerate the delivery of data solutions for analytics and business purposes.

What You'll Be Doing:

A data engineer onsite in Indianapolis, IN is responsible for designing, developing, and maintaining the data solutions that ensure the availability and quality of data for analysis and/or business transactions. They design and implement efficient data storage, processing and retrieval solutions for datasets and build data pipelines, optimize database designs, and work closely with data scientists, architects, and analysts to ensure data quality and accessibility. Data engineers require strong skillsets in data integration, acquisition, cleansing, harmonization, and transforming data. They play a crucial role in transforming raw data into datasets designed for analysis which enable organizations to unlock valuable insights for decision making.

How You'll Succeed:

  • Engage and partner with cross-functional tech teams across Global Services (finance), third party solution delivery providers, and Data architects to understand the business problem and enhance/develop the appropriate data solution leveraging the modern tech stack
  • Design and implement highly performant data ingestion/processing pipelines from multiple sources
  • Develop technical solutions which combine disparate information to create meaningful insights for business partners
  • Operate with a quality mindset always considering the impact of design decisions on the long-term support and maintenance of data pipelines/jobs
  • Ensure data integrity, security, and privacy requirements are met
  • Stay abreast of tools and technologies to influence our strategy so that it provides best usage opportunities for business
What You Should Bring:
  • A foundational set of knowledge in: communication, leadership, teamwork, problem solving skills, solution / blueprint definition, business acumen, architectural processes (e.g. blueprinting, reference architecture, governance, etc.), technical standards, project delivery, and industry knowledge.
  • Strong skillsets in data integration, acquisition, cleansing, harmonization, and transforming data
  • Experience designing large scale data models for functional, operational, and analytical environments (Conceptual, Logical, Physical & Dimensional)
  • Experience in several of the following disciplines: statistical methods, data modeling, ontology development, semantic graph construction and linked data, relational schema design.
  • Demonstrated SQL/PLSQL and data modeling proficiency.
  • Experience with data modeling tools such as, ER*Studio and Erwin or TOAD
  • Experience in AWS or Azure techstack
  • Experience in building/integrating APIs
  • Experience in creating data products using APIs
  • Experience with security models and development on large data sets
  • Experience with multiple database technologies
  • Experience with multiple database solutions (e.g. Postgres, Redshift, Aurora, Athena) and formal database designs (3NF, Dimensional Models)
  • Experience with Agile Development, CI/CD, Jenkins, Github, Automation platforms
  • Experience in implementing effective data loading strategy (CDC, incremental loads)
  • Demonstrated ability to analyze large, complex data domains and craft practical solutions for subsequent data exploitation via analytics.
  • Demonstrated ability to communicate with a geographically dispersed group of business and technical colleagues
  • Ability to review and provide practical recommendations on design patterns, performance considerations & optimization, database versions, and database deployment strategies
  • Knowledgeable in data functions such as Data Governance, Master Data Management, Business Intelligence
Basic Qualifications:
  • Bachelors Degree in computer science, information technology, or management information systems.
  • Or High School Diploma with at least four years of Data Engineer experience
  • Experience in data integration, acquisition, cleansing, harmonization, and transforming data
  • Demonstrated ability to analyze large, complex data domains and craft practical solutions for subsequent data exploitation via analytics.
  • Qualified candidates must be legally authorized to be employed in the United States. Lilly does not anticipate providing sponsorship for employment visa status (e.g., H-1B or TN status) for this employment position
Other Considerations:
  • Lilly does not anticipate providing sponsorship for employment visa status (e.g., H-1B or TN status) for this employment position.
  • Must be willing to relocate to the Indianapolis area
  • Hybrid work schedule
  • 0-10% travel
Additional Preferences:
  • CDMP Certification
  • AWS Solution Architect
  • Understanding of a highly regulated environment that involves data privacy and confidential information requirements


About the Organization:

Technology at Lilly builds and maintains capabilities using cutting edge technologies like most prominent tech companies. What differentiates our team is that we create new possibilities through tech to advance our purpose - creating medicines that make life better for people around the world, like data driven drug discovery and connected clinical trials. We hire the best technology professionals from a variety of backgrounds, so they can bring an assortment of knowledge, skills, and diverse thinking to deliver innovative solutions in every area of our business.

The Global Services IT team leads digitalization across organizations spanning the enterprise with Finance, Legal, Ethics & Compliance, Corporate Affairs and Human Resources as well delivers best-in-class ERP Solutions. This team leverages technology and analytics to enable transformations across the enterprise.

Eli Lilly and Company, Lilly USA, LLC and our wholly owned subsidiaries (collectively "Lilly") are committed to help individuals with disabilities to participate in the workforce and ensure equal opportunity to compete for jobs. If you require an accommodation to submit a resume for positions at Lilly, please email Lilly Human Resources ( Lilly_Recruiting_Compliance@lists.lilly.com ) for further assistance. Please note This email address is intended for use only to request an accommodation as part of the application process. Any other correspondence will not receive a response.

Lilly is an EEO/Affirmative Action Employer and 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.

Our employee resource groups (ERGs) offer strong support networks for their members and help our company develop talented individuals for future leadership roles. Our current groups include: Africa, Middle East, Central Asia Network, African American Network, Chinese Culture Network, Early Career Professionals, Japanese International Leadership Network (JILN), Lilly India Network, Organization of Latinos at Lilly, PRIDE (LGBTQ + Allies), Veterans Leadership Network, Women's Network, Working and Living with Disabilities. Learn more about all of our groups.

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