- Perform routine tasks competently and independently and generate reliable and consistent results.
- Learn and understand various data engineering activities, including data warehousing, master data management, data cataloging, system integration, data streaming, data visualization, data analysis, and data ops.
- Learn and understand pharmaceutical R&D/Life Science centric datasets.
- Learn and contribute to the architecture, design, development, and maintenance of large-scale data & analytics platforms, system integrations, data pipelines, data models & API integrations to support evolving business strategy.
- Understand and adhere to corporate standards regarding applicable Corporate and Divisional Policies, including code of conduct, safety, GxP compliance, data security, and the software development lifecycle.
- Significant Work Activities -Continuous sitting for prolonged periods (more than 2 consecutive hours in an 8 hour day)
- Python
- Spark
- AWS
- SQL
- Hive
- Informatica
- ETLs
- Bachelor's Degree plus 2 years of related experience; OR 6 years of IT-related work experience
- Must have experience with software development life cycle.
- Experience with data analysis programming languages (e.g., SQL, Python & Apache Spark, SAS & R)
- Experience working with Pharmaceutical R&D industry-centric datasets is preferred.
- 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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Associate Data Engineer - North Chicago, United States - AbbVie
Description
Job DescriptionAbbVie Information Research is seeking an Associate Data Engineer who would contribute to the architecture, design, and development of the Data & Analytics Platform, supporting world-class research and development at AbbVie. As an Associate Data Engineer, you will be a core member of a high-performance team of data engineers and architects focusing on driving technology innovation and continuous improvement. This role collaborates with solution architects, product owners, program managers, business analysts, infrastructure teams, and service providers to deliver the solutions.
In this role you will be responsible for:
Tools and skills you will use in this role:
Experiences that make you a strong fit 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.
