- Performing routine tasks competently and independently to generate reliable and consistent results.
- Learning and understanding various data engineering activities, including data warehousing, master data management, data cataloging, system integration, data streaming, data visualization, data analysis, and data ops.
- Understanding pharmaceutical R&D/Life Science centric datasets.
- Contributing 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.
- Adhering to corporate standards regarding applicable Corporate and Divisional Policies, including code of conduct, safety, GxP compliance, data security, and the software development lifecycle.
- Engaging in continuous sitting for prolonged periods (more than 2 consecutive hours in an 8-hour day) as a significant work activity.
- Python
- Spark
- AWS
- SQL
- Hive
- Informatica
- ETLs
- Bachelor's Degree plus 2 years of related experience; OR 6 years of IT-related work experience
- 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 reflects the range of potential base pay for this role based on the job grade. Individual compensation within this range will vary based on factors including geographic location. The company offers a comprehensive benefits package including paid time off, medical/dental/vision insurance, and 401(k) for eligible employees. This job is also eligible for short-term incentive programs.
- No amount of pay is considered compensation until earned and determinable. The company is committed to employing qualified individuals without discrimination based on various factors such as race, color, religion, national origin, age, sex, disability, medical condition, genetic information, gender identity, sexual orientation, marital status, veteran status, or any other legally protected group status.
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Associate Data Engineer - North Chicago, United States - AbbVie
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Description
Job Description
Company Description
AbbVie has a mission to discover and deliver innovative medicines and solutions that tackle serious health issues today and tackle the medical challenges of tomorrow. The company aims to make a significant impact on people's lives across various key therapeutic areas such as immunology, oncology, neuroscience, and eye care, as well as through products and services offered in the Allergan Aesthetics portfolio.
AbbVie Information Research is looking for an Associate Data Engineer to contribute to the architecture, design, and development of the Data & Analytics Platform, supporting world-class research and development efforts at AbbVie. As an Associate Data Engineer, you will play a key role in a high-performance team of data engineers and architects committed to driving technology innovation and continuous improvement. This position involves collaboration with solution architects, product owners, program managers, business analysts, infrastructure teams, and service providers to deliver 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 leverage technology and data to make a positive impact on people's lives, contribute to the digital transformation of a leading biopharmaceutical company, and secure sustainable career growth within a diverse, global team: this opportunity is for you.
Additional Information