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 115,000 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 Downtown Chicago- WeWork location in the Digital Technology Services organization.

As the Data Engineer, you'll have the chance to build code, design solution and solutions for Big Data platforms, collaborating with technical data engineers and business users. You'll develop solutions, and support IT defects.

What You'll Work On

• Global Data Lakes, Data warehouses and analytics projects providing hands on experience leading large-scale solutions.
• Technical and hand-on with agility to meet fluid and dynamic business needs
• Expertise - Collaborate with Abbott employees and partners to develop big data platform solutions using Data bricks, cloud services such as Amazon Elastic Compute Cloud (EC2), Amazon Redshift, Azure Data Factory and Azure Synapse.
• Solutions - Understanding customer requirements, creating solution proposals and creating data service offerings. This includes participating in on-site visits.
• Delivery - Engagements proving the use of AWS services to support new distributed computing solutions that often span private cloud and public cloud services. Engagements will include development of solutions specific to use cases, upkeep of current big data architecture, conducting Proof of Concepts, support migration of existing applications and development of new applications using AWS cloud services.
• Analyze latest Big Data Analytic technologies and their innovative applications in both business intelligence analysis and new service offerings, bring these insights and best practices to implement complex big data solutions
• Track record of implementing Spark, Databricks in a variety of distributed computing, enterprise environments.
• Track record of implementing AWS services in a variety of distributed computing, enterprise environments.
• Deep understanding of database and analytical technologies in the industry including MPP databases, Data Warehouse design, BI reporting and Dashboard development.
• Deliver and implement designs, data modeling, and implementations of Big Data platform and analytic applications
• Effectively communicate complex technical concepts to non-technical business and executive leaders
• Work closely with SMEs, functional experts in Commercial, R&D, finance, etc. for building data pipeline from structure and unstructured data sources

Required Qualifications

• BA/BS degree or equivalent experience; Computer Science or Math background preferred
• 5+ years' experience of IT platform implementation in a highly technical and analytical role
• Experience in data lake and data analytics solution components from AWS and Microsoft Azure
• Current hands-on implementation experience required; individual contributors only need apply
• Strong verbal and written communications skills and ability to deliver effectively
• Ability to communicate complex quantitative analysis in a clear, precise, actionable manner
• Hands-on experience in Big Data Components/Frameworks, AWS, Azure solution components required.
• Experience in one or more of the following: Python, Apache Spark, Kafka, Databricks

Preferred Qualifications

• Experience in Healthcare industry
• Understanding of Regulatory requirements
• Customer facing skills to represent Abbott Big Data team and drive discussions with senior personnel regarding trade-offs, best practices, product management and risk mitigation
• Demonstrated ability to think strategically about business, product, and technical challenges in an enterprise environment
• Ability to travel to various Abbott locations (sometimes, internationally) when needed.

Apply Now

* Participants who complete a short wellness assessment qualify for FREE coverage in our HIP PPO medical plan. Free coverage applies in the next calendar year.

Learn more about our health and wellness benefits, which provide the security to help you and your family live full lives: www.abbottbenefits.com

Follow your career aspirations to Abbott for diverse opportunities with a company that can help you build your future and live your best life. Abbott is an Equal Opportunity Employer, committed to employee diversity.

Connect with us at www.abbott.com, on Facebook at www.facebook.com/Abbott and on Twitter @AbbottNews and @AbbottGlobal.

The salary for this role is between:

N/A

JOB FAMILY:

IT Business Relationship Management

DIVISION:

CHMN Office of the Chairman

LOCATION:

United States > Chicago : WeWork National Building 125 S. Clark Street

ADDITIONAL LOCATIONS:

WORK SHIFT:

Standard

TRAVEL:

Yes, 5 % of the Time

MEDICAL SURVEILLANCE:

Not Applicable

SIGNIFICANT WORK ACTIVITIES:

Continuous sitting for prolonged periods (more than 2 consecutive hours in an 8 hour day), Keyboard use (greater or equal to 50% of the workday)

Abbott is an Equal Opportunity Employer of Minorities/Women/Individuals with Disabilities/Protected Veterans.

EEO is the Law link - English: http://webstorage.abbott.com/common/External/EEO_English.pdf

EEO is the Law link - Espanol: http://webstorage.abbott.com/common/External/EEO_Spanish.pdf