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Eli Lilly and Company · 5 hours ago

Data Engineer

US, Indianapolis IN

Full-time

Hybrid

Mid Level

$64K/yr - $158K/yr

4+ years exp

Eli Lilly and Company is a global healthcare leader headquartered in Indianapolis, Indiana. They are seeking a Data Engineer to design, develop, and maintain data solutions that ensure data availability and quality for analysis and business transactions, while collaborating with cross-functional teams to deliver effective data solutions.

BiotechnologyHealth CareMedicalPharmaceutical

No H1B

Responsibilities

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

Qualification

Data integrationData modelingSQL/PLSQLAWSAzureData pipeline developmentAPI integrationData governanceAgile DevelopmentBusiness acumenCommunicationLeadershipTeamworkProblem solving

Required

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 Microsoft Fabric

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

Bachelors Degree in computer science, information technology, Management information systems or related fields

Or High School Diploma with at least 4+ years of Data Engineer experience

Experience in data integration, acquisition, cleansing, harmonization, and/or transforming data

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