Senior Data Engineer Commercial Data

AbbVie • Mettawa, IL

8d

About The Position

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.Key ResponsibilitiesLead largescale data transformation initiatives.Design & develop data, software, & tech solutions to business questions.Pressure-test requirements for accurate delivery.Analyze the architecture from the current state to future state transformation process.Present & lead status to business stakeholders.Prepare & present data distributions to non-tech audiences.Compile & deliver accurate solution estimates.Define scope by understanding business needs with technology capabilities.Elicit requirements from ambiguous business needs. Challenge where needed.Execute the software development lifecycle for new builds/changes.

Requirements

• Must have a Bachelor's degree in computer science, applied & computational mathematics, data science, management information systems, electronics & communication, analytics or related field & 5 years of work experience in a combination of data analyst, data engineering & business systems analyst roles.
• 5 years analyzing or engineering data with Database using Structured Query Language (SQL)
• 3 years designing & developing ETL/ELT pipeline using tools including Informatica
• 3 years gathering business requirements & preparing & presenting orally & in writing to supervisor, non-technology stakeholders, & peers in a matrixed organization
• 2 years analyzing or transforming data with Python
• 2 years building data solutions using Snowflake
• 2 years storing, processing, or analyzing data on cloud-based solutions including AWS technologies.
• Alternatively, would accept a Master's degree in computer science, applied & computational mathematics, data science, management information systems, electronics & communication, analytics or related field & 2 years of work experience in a combination of data analyst, data engineering roles & business systems analyst. Of work experience required, must have 2 years in (i), (ii), (iii) & 1 year in (iv), (v) & (vi).Experience may be gained concurrently. Will accept any suitable combination or education, training or experience.

Responsibilities

• Lead largescale data transformation initiatives.
• Design & develop data, software, & tech solutions to business questions.
• Pressure-test requirements for accurate delivery.
• Analyze the architecture from the current state to future state transformation process.
• Present & lead status to business stakeholders.
• Prepare & present data distributions to non-tech audiences.
• Compile & deliver accurate solution estimates.
• Define scope by understanding business needs with technology capabilities.
• Elicit requirements from ambiguous business needs.
• Challenge where needed.
• Execute the software development lifecycle for new builds/changes.

Benefits

• 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 and long-term incentive programs.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees