AbbVie is seeking to transform into a data and insights driven decision-making organization and is looking for a Data Engineer to join their data engineering team to support this transformation.
Requirements
- Palantir Foundry
- PySpark, Python, and SQL
- Data Modeling
- Git, Jira, Confluence
- AWS
- Typescript & Javascript knowledge is a plus
- 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, Typescript and Javascript
Responsibilities
- 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.
- 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.
Other
- Bachelor's Degree with 6 years’ experience; or Master's Degree with 4 years’ experience
- 6+ years of experience in data engineering, preferably within the pharmaceutical or life sciences industry
- 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.
- Experience with DevOps principals and version control (Git preferred)
- End-to-end experience with data, including querying, aggregation, analysis, and visualization.
