Are you passionate about leveraging the power of data and insights to drive organizational growth and success? Do you thrive on transforming traditional business models into dynamic, data-driven environments? If so, we have an exciting opportunity for you.
The “Winning with Data” (WWD) capability in AbbVie’s International Commercial Business is driving the transformation of the organization into a data and insights driven decision-making organization and is seeking a talented Data Engineer to join our data engineering team. In this role, you will play a critical part in designing, building, and maintaining data solutions using Palantir Foundry to support our data-driven initiatives.
This individual will be a key member of our Data Engineering team and will be responsible for designing, developing, and maintaining data pipelines, ensuring data quality, and driving innovation through data engineering solutions.
In this role you will be responsible for:
Planning, building, and running enterprise class information management solutions on Palantir Foundry
Designing, developing, testing, and maintaining data pipelines to support Analytics projects within Commercial.
Design, implement, and maintain scalable Functions in Palantir Foundry
Building data products and service processes which perform data transformation, metadata extraction, workload management and error processing management.
Collaborate with cross-functional teams to understand data requirements and translate them into robust and efficient solutions.
Develop and optimize ETL processes to ensure timely and accurate data delivery to various business applications.
Implementing standardized, automated operational and quality control processes to deliver accurate and timely data and reporting.
Adhering to best practices for coding, testing, and designing reusable code/component.
Collaborating with Data Analysts and Scientists to enable streamlined data flow for the Commercial Analytics capabilities across brands.
Ensuring appropriate security and compliance policies are followed for information access and dissemination.
Defining and applying information quality and consistency business rules throughout the data processing lifecycle.
Collaborating with information providers to ensure quality data updates are processed in a timely fashion.
Working in self-responsible Agile Teams
Tools and skills you will use in this role:
Palantir Foundry
PySpark, Python, and SQL
Data Modeling
Git, Jira, Confluence
AWS
Typescript & Javascript knowledge is a plus
Work on cutting-edge sports data and analytics. Join a team that's revolutionizing how we understand sports performance with AI and machine learning.
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