Job Description

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  . 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 lifecycle implementation experience using various SDLC methodologies.
• Strong interpersonal skills and the ability to communicate complex technology solutions to senior leadership, gain alignment and drive progress.

Qualifications

• Bachelor's Degree with 8 years of experience; Master's Degree with 7 years of experience; PhD with 3 years of related work experience and a strong understanding of specified functional area. Degree in Computer Science or related discipline preferred. Advanced degree preferred.
• 5+ or more years of hands-on experience with Azure cloud services such as Azure Data Factory, Azure SQL Database, Azure Blob Storage, Azure Synapse Analytics, Azure Data Lake, and Azure Functions.
• Expertise in Azure Databricks, with proven experience in delivering end-to-end data pipelines with Databricks Workflows, Autoloader, Spark Structured Streaming and Data Analytics with SQL is required.
• Coding proficiency in at least two or more modern programming languages: PySpark, C#, Node.JS, React JS, Restful API, Python.
• Understanding of popular AI frameworks and libraries like TensorFlow and PyTorch.
• Familiarity and exposure with supervised and unsupervised learning algorithms, deep learning techniques, reinforcement learning, and model evaluation.
• Understanding of NLP techniques and tools, such as sentiment analysis, language modeling, image processing and computer vision techniques are important.
• Ability to create and manage data visualizations and reports using Power BI for insights and decision-making.
• Familiarity with version control systems and DevOps practices to manage code and automate deployment processes using tools like Azure DevOps.
• Industry experience in IoT data management, metadata, data architecture, data governance, data quality and data modeling.
• Troubleshooting and optimization skills in identifying and resolving data-related issues, optimizing data processes and solutions for performance.
• Experience in Salesforce ecosystem and middleware integration tools like MuleSoft, Apigee is preferred.

Additional Information

Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law: ​

• 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. ​

• This job is eligible to participate in our long-term incentive programs​

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 an equal opportunity employer and 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.

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