Abbott Senior Data Engineer in Chicago, Illinois
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 109,000 colleagues serve people in more than 160 countries.
Our location in Chicago, IL, currently has an opportunity for a Sr. Data Engineer. This role will assist in development of data platforms, business solutions, and proof of concept to assist the big data team in realizing business goals.
WHAT YOU’LL DO
Demonstrate high degree of analytic agility to meet fluid and dynamic business needs
Use data engineering techniques to design and build solutions/ products for analyzing large data sets and identify patterns and relationships
Create, deploy and optimize large scale data
Assist in rapid development of new data and analytics prototypes
Explore data sources to better understand the availability and quality of data.
Document available data sources and how they are being transformed.
Embrace an environment that supports innovation and process improvement
Manage data sources, organize data and create data assets using identified open source or proprietary tools
Work closely with SMEs, functional experts in Commercial, R&D, finance, etc. for building data pipeline from structure and unstructured data sources
Assist with scoping, pricing, architecting, and selling large project engagements
Hands on experience leading large-scale global data warehousing and analytics projects.
Work on newest tools and technologies to achieve results - Scala, Scalding, Spark, Hadoop
Mentor Jr Data Engineers in their day to day activity.
Part of the centralized team responsible for building and managing advanced analytics products/ solutions in Abbott
Works under direction of managers, manages activities per milestones and completes tasks assigned by supervisor(s)
EDUCATION AND EXPERIENCE YOU’LL BRING
Bachelor’s degree in any of the following – Math, Physics, Computer Science, Statistics, Economics, Quantitative Sciences
7-8 years’ experience covering the entire software lifecycle in a team-oriented environment.
Strong problem-solving skills
Experience manipulating and analyzing complex, high-volume data from varying sources
Experience in any data analytics solution component from AWS and Microsoft Azure.
Experience with Python, R, Spark, hive, HBase, Hadoop, Kafka, YARN etc.
Programming skills in one of Python, Scala, Golang or Nodejs is desired.
Attention to detail and organization/ documentation skills
Ability to prioritize and triage deadline-driven tasks in a high-pressure environment
Ability to communicate complex quantitative analysis in a clear, precise, actionable manner
The candidate must possess good oral and written communication skills.
WHAT WE OFFER
At Abbott, you can have a good job that can grow into a great career. We offer:
Training and career development, with onboarding programs for new employees and tuition assistance
Financial security through competitive compensation, incentives and retirement plans
Health care and well-being programs including medical, dental, vision, wellness and occupational health programs
Paid time off
401(k) retirement savings with a generous company match
The stability of a company with a record of strong financial performance and history of being actively involved in local communities
Learn more about our benefits that add real value to your life to help you live fully: www.abbottbenefits.com
Follow your career aspirations to Abbott for diverse opportunities with a company that provides the growth and strength to build your future. 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.
An Equal Opportunity Employer
Abbot welcomes and encourages diversity in our workforce.
We provide reasonable accommodation to qualified individuals with disabilities.
To request accommodation, please call 224-667-4913 or email email@example.com
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