Abbott Junior Data Engineer in Chicago, Illinois
At Abbott, we're committed to helping people live their best possible life through the power of health. For more than 125 years, we've brought new products and technologies to the world -- in nutrition, diagnostics, medical devices and branded generic pharmaceuticals -- that create more possibilities for more people at all stages of life. Today, 99,000 of us are working to help people live not just longer, but better, in the more than 150 countries we serve.
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
Work on newest tools and technologies to achieve results - Scala, Scalding, Spark, Hadoop
Part of the centralized team responsible for building and managing advanced analytics products/ solutions in Abbott
Works under direction of managers, manages activities according to milestones and completes tasks assigned by more experienced analysts and managers
Bachelor’s degree in any of the following – Math, Physics, Computer Science, Statistics, Economics, Quantitative Sciences
0-2 years of experience
Strong problem-solving skills
Ability and desire to learn new languages and technologies
Attention to detail and organization/ documentation skills
Ability to prioritize and triage deadline-driven tasks in a high-pressure environment
Experience manipulating and analyzing complex, high-volume data from varying sources
Ability to communicate complex quantitative analysis in a clear, precise, actionable manner
Experience in AWS, Python, R, Spark, hive, HBase, Hadoop, Kafka, YARN etc. will be a plus
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 firstname.lastname@example.org