Sr Data Engineer

Abbott is a global healthcare leader that helps people live more fully at all stages of life. Our portfolio of life-changing technologies spans the spectrum of healthcare, with leading businesses and products in diagnostics, medical devices, nutritionals and branded generic medicines. Our 114,000 colleagues serve people in more than 160 countries.

     

JOB DESCRIPTION:

At Abbott, you can do work that matters, grow, and learn, care for yourself and family, be your true self and live a full life. You’ll also have access to:

• Career development with an international company where you can grow the career you dream of .
• Free medical coverage for employees* via the Health Investment Plan (HIP) PPO
• An excellent retirement savings plan with high employer contribution
• Tuition reimbursement, the Freedom 2 Save student debt program and FreeU education benefit - an affordable and convenient path to getting a bachelor’s degree.
• A company recognized as a great place to work in dozens of countries around the world and named one of the most admired companies in the world by Fortune.
• A company that is recognized as one of the best big companies to work for as well as a best place to work for diversity, working mothers, female executives, and scientists.

The Opportunity

This position works out of our Chicago – Willis Tower location in the Data Science & Engineering team.Abbott's Data Science & Engineering organization accelerates data-driven solutions and creates business value across the organization related to Artificial Intelligence (AI), Digital Analytics, and Big Data. We use state-of-the-art technologies, build cutting-edge data solutions that solve complex health challenges, and develop reliable, cost-effective tools.

The Senior Data Engineer role will work closely with cross-functional business teams and technical teams, and will be responsible for designing, developing and deploying state-of-the-art big data solutions on cloud.  The role will develop standards, build best practices, and support IT defects.

What You’ll Work On

• Provide technical leadership and oversight in data solutions development as related to data engineering initiatives.
• Hands-on design, implement, and maintain scalable and optimized cloud data architectures that meet evolving business needs
• Continuously optimize data pipelines for improved reliability, performance and optimized cost.
• Establish monitoring and alerting systems to proactively identify and address potential data pipeline issues.
• Create and deliver documentations to meet compliance requirements
• Collaborate with business and engineering teams to define data requirements and drive data-driven decision-making.
• Transform data analytical results into actionable recommendations for business partners using deep industry knowledge
• Support Generative AI and AI initiatives by developing data models to apply to multiple source systems that support solution deployment
• Communicate and educate technical concepts and best practices effectively to both technical and non-technical audiences.
• Track latest technologies and new service offerings, bring insights and innovations into big data solutions.
• Provide technical oversight and guidance to team members.

Required Qualifications

• Bachelor’s degree in the field of STEM or equivalent relevant experience/ Master’s Degree preferred 
• 6+ years’ experience of IT platform implementation in a highly technical and analytical role. 
• Hands-on experience in data lake and data analytics solution components from AWS,Microsoft Azure, and Databricks.
• Expertise in ETL tools and data engineering programming languages (Python, Scala, SQL)
• Strong understanding of data modeling concepts and data architecture for both structured and unstructured
• Experience with Data Ops (cluster management, Databricks configurations, Terraform) in Cloud Computing environments and associated cloud data platforms, cloud data warehouse designs, BI and advanced analytical platforms.
• Strong problem-solving and critical thinking skills.
• Customer facing skills to drive discussions with business functions regarding best practices, cost management and risk mitigation 
• Strong verbal and written communications skills and ability to deliver effectively. 
• Ability to communicate complex quantitative analysis in a clear, precise, actiona