AbbVie - North Chicago, IL

posted about 2 months ago

Full-time - Mid Level
North Chicago, IL
Chemical Manufacturing

About the position

As a Lead Data and Analytics Engineer at AbbVie, you will play a pivotal role in the digital transformation of a leading biopharma company. This position is part of the Business Technology Solutions (BTS) team, where you will contribute to creating innovative solutions that positively impact patients and their communities. Your primary focus will be on the database administration function, which encompasses a wide range of responsibilities including database architecture, installation, and technical support for various data products. You will be responsible for designing, securing, and maintaining the data structures that store critical corporate data, ensuring the integrity and availability of this information through effective backup and recovery strategies. In this role, you will oversee the data and analytics initiatives within the Procurement department, working closely with various stakeholders to develop data and analytic products that facilitate the digital transformation of procurement processes. You will design and maintain data pipelines that ingest, transform, and prepare data from source systems such as SAP, Sievo, and Provalido into business-aggregated data products. Your expertise will guide less experienced database administrators, ensuring compliance with corporate policies and procedures while enhancing logical database designs and implementing physical databases. You will also conduct performance monitoring and capacity planning for production databases, diagnose database-related issues, and lead the development of database standards and procedures. Your daily interactions will involve collaborating with clients on divisional and enterprise-wide projects, as well as engaging with peer resources in other technical support organizations. This role requires solving complex data integration challenges and designing scalable data processing pipelines and ETL jobs using distributed technologies to efficiently manage growing data volumes.

Responsibilities

  • Oversee Procurement data and analytics initiatives.
  • Design and maintain data pipelines for data ingestion and transformation.
  • Provide guidance in database administration activities to less experienced DBAs.
  • Ensure compliance with applicable Corporate and Divisional Policies and procedures.
  • Review, validate, and enhance logical database designs.
  • Define and implement physical databases.
  • Perform database administration activities such as modifications, enhancements, and expansions.
  • Conduct production database performance monitoring and capacity planning.
  • Install, test, and upgrade database releases and associated products.
  • Diagnose database-related issues, including outages and application performance.
  • Lead the development of database standards and procedures.
  • Evaluate and recommend new database software, utilities, and tools.
  • Interact daily with clients on divisional and enterprise-wide projects.
  • Solve challenging data integration problems using optimal ETL patterns and frameworks.
  • Design scalable data processing pipelines and ETL jobs using distributed technologies.

Requirements

  • Bachelor's Degree with 6 years' experience; Master's Degree with 5 years' experience; PhD with 0 years' experience.
  • Experience as a DBA in the design, testing, implementation, and administration of management systems database with proficiency in SQL, Python, PowerBI, QlikView, Qliksense, and Dataiku.
  • Technical training including Database Administration, Performance and Tuning, and Backup and Recovery.
  • Experience with file structures, design, retrieval, and access methods using ETL tools such as Informatica.
  • Experience establishing guidelines, procedures, and standards for database administration is a plus.
  • Excellent analytical, communication, and consultative skills, with sound judgment and the ability to work effectively with clients and IT management.

Nice-to-haves

  • Experience in the Life sciences domain.
  • Expertise in creating Data Products on modern cloud-based data warehouse solutions like AWS Redshift, including data modeling, schema design, and performance optimization.
  • Proficient in Microsoft Power Platform solutions such as PowerQuery, Power Automate, and Dataiku.
  • Experienced in SDLC processes and Agile delivery, using Jira to manage product delivery in iterative sprints.
  • Expertise in the SAP Source to Pay module and Procurement analytics.

Benefits

  • Paid time off (vacation, holidays, sick)
  • Medical/dental/vision insurance
  • 401(k) plan for eligible employees
  • Participation in short-term incentive programs
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