- 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
- Significant Work Activities -Continuous sitting for prolonged periods (more than 2 consecutive hours in an 8 hour day)
- Palantir Foundry
- PySpark, Python, and SQL
- Data Modeling
- Git, Jira, Confluence
- AWS
- Typescript & Javascript
- 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.
- 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.
- The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this role at the time of this posting based on the job grade for this position. Individual compensation paid within this range will depend on many factors including geographic location, and we may ultimately pay more or less than the posted range. This range may be modified in the future.
- We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to eligible employees.
- This job is eligible to participate in our short-term incentive programs.
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Senior Data Engineer - Mettawa, United States - AbbVie
Description
Job Description
Job DescriptionCompany DescriptionAbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas – immunology, oncology, neuroscience, and eye care – and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at Follow @abbvie on Twitter, Facebook, Instagram, YouTube and LinkedIn.
Job DescriptionAre 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:
Tools and skills you will use in this role:
Experiences that make you a strong candidate for this role:
Required:
Beneficial:
If you believe you're a great fit for this job but don't have all of the experiences listed above, we encourage you to apply anyway
Why Business Technology Solutions
For anyone who wants to use technology and data to make a difference in people's lives, shape the digital transformation of a leading biopharmaceutical company, and secure sustainable career growth within a diverse, global team: we're ready for you.
Additional InformationApplicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law:
Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, incentive, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole and absolute discretion unless and until paid and may be modified at the Company's sole and absolute discretion, consistent with applicable law.
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.
