Data Engineering Roles - Brand and Commercial Operations

at  AbbVie

Company Description
AbbVie’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 www.abbvie.com. Follow @abbvie on Twitter, Facebook, Instagram, YouTube and LinkedIn.
Job Description
Take the next step in your career with an organization that strategically invests in the long-term health of the company, its technology, and its people. The AbbVie Business Technology Solutions (BTS) team shapes the digital transformation necessary for our treatments to positively impact patients’ lives. Simply put, we make a remarkable impact through data and technology solutions.
We are looking for an Integration Engineer, Data Engineers, and Senior Data Engineering Team Leads who want to work in a team-based environment that values people and diversity. The solutions aim to help provide insight into AbbVie’s business and enable our Commercial strategy. This will involve working with programming languages like PySpark, Python, R, and SQL. There is also an opportunity to learn and work with cloud-based technologies like AWS, Snowflake, Dataiku, and more. Our Data Engineers will work collaboratively, as part of an Agile team, alongside Data Scientists, Data Analysts, Marketing, and other business functions to imagine, design, build, and enhance solutions. The work will be fast paced, dynamic, and afford many learning opportunities. If you can see yourself succeeding in this type of environment, we encourage you to apply.

• Onboard, consolidate, cleanse, and structure data for efficient use in reports, analytical applications, and machine learning models.
• Design, develop, and maintain scalable reusable data pipelines for both streaming and batch requirements.
• Implement data processing and QC (Quality Control) checks across multiple layers of data warehouses.
• Perform data analysis and reconciliation on datasets of varying sizes and complexities.
• Design, develop, and maintain scalable APIs (Application Programming Interface).
• As applicable, based on experience, mentor and supervise other data engineers.
  Qualifications
  Experience that makes you a strong candidate for these roles: