Data Engineer III, Remote

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 X, Facebook, Instagram, YouTube, LinkedIn and Tik Tok.

Job Description

Senior Data Engineer will lead the work on building scalable data and analytics solutions. This role is key to end-to-end solution delivery, stakeholder management, collaboration with other engineering teams, participation in architecture design discussions, and will guide and mentor others. The ideal candidate will have outstanding communication skills, proven data design, and implementation capabilities, business acumen, and a highly developed drive to deliver results.

Responsibilities

• Responsible for building data models, query optimization, and implementing data governance frameworks with scalability, efficiency, and reliability.
• Adhere to agile project management frameworks and set the direction for data science initiatives.
• Develop strong partnerships with Data Analytics, MDM, Data Science, Product, Engineering, and other data teams and understand their data needs.
• Apply a wide range of Data Engineering/Technological skills for developing, maintaining, and modernizing our data platform suites/eco-system for real-time data processing.
• Implement large-scale data ecosystems including data management, governance, the integration of structured and unstructured data to generate insights leveraging Azure cloud platform.
• Improve our Data Engineering stack through containerization, data modeling, data quality, data pipeline automation, and data integration.
• Responsible for driving development, design, and showcasing best practices while leading by example.
• Keep informed of the latest technological trends and innovations, especially in the areas of customer data platforms, master data management, digital asset management and AI/ML frameworks.
• Full lifecycl