Senior Data Engineer

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

Come to work each day with an inclusive and collaborative Business technology team! As a Senior Data Engineer in AbbVie Business Technology Solutions (BTS), you’ll have opportunities to contribute to the digital transformation of a leading biopharma company, helping to create solutions that impact patients and their communities for the better.

Conceive, design, engineer, and implement data, software, and technology solutions that solve significant scientific or business problems. Investigate, identify, and implement state-of-the-art technology platforms that drive productivity and efficiency gains in own function and throughout multiple business areas. Act as a lead engineer in his/her area of expertise and critically evaluate relevant technological advances and integrate this knowledge into new business technology solutions. Technology Engineers will be aligned to a specific area: Information, Software, Data, or Infrastructure.

In this role, you'll be responsible for:

• Conceive, design, engineer, and implement software and technology solutions by studying information needs; conferring with users; studying systems flow, data usage, and work processes; investigating problem areas; Demonstrate the ability to resolve key project hurdles and assumptions by effectively utilizing available information and technical expertise.
• Demonstrate high proficiency across a wide range of technologies and platforms related to software design and development, programming languages, data integration, data warehousing, data analysis and visualization tools, data storage, network connectivity, and virtualization/cloud environments.
• Perform data profiling to understand data nuances, build data pipelines and analytics tools to provide actionable i