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.
Building data products and service processes which perform data transformation, metadata extraction, workload management and error processing management.
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
Experiences that make you a strong candidate for this role:
Required:
Bachelor’s Degree with 6 years’ experience; Master’s Degree with 5 years’ experience; PhD with 0 years’ experience.
Experience in data processing roles such as database developer/administrator, ETL/Big Data developer, data analyst and/or BI analytics developer
Experience with cloud platforms, big data platforms and one or more general purpose programming languages, including but not limited to: Python, SQL, Spark, Amazon Web Services
Experience with DevOps principals and version control (Git preferred)
End-to-end experience with data, including querying, aggregation, analysis, and visualization.
Good communication and presentation skills, being able to explain complex problems and the solutions applied, and comfortable in presenting technical solutions to a nontechnical audience.
Beneficial:
Experience with Veeva CRM, Reltio, SAP and/or Palantir Foundry.
4+ years of experience in data engineering, preferably within the pharmaceutical or life sciences industry
Knowledge of pharmaceutical industry regulations, such as data privacy laws, is highly desirable.
Affinity to either performance optimizing, user experience design, automated testing and/or data science.
AbbVie is committed to operating with integrity, driving innovation, transforming lives, serving our community, and embracing diversity and inclusion. It is AbbVie’s policy to employ qualified persons of the greatest ability without discrimination against any employee or applicant for employment because of race, color, religion, national origin, age, sex (including pregnancy), physical or mental disability, medical condition, genetic information, gender identity or expression, sexual orientation, marital status, status as a protected veteran, or any other legally protected group status.