The Data Engineer will work with the team to create state-of-the-art data and analytics driven solutions, developing and deploying cutting edge scalable algorithms, working across GE to drive business analytics to a new level of predictive analytics while leveraging big data tools and technologies.
Architect, Design and develop new systems and tools to enable users to consume and understand data faster
Engineers structured and unstructured data from source systems to fit business needs
Participates in setting strategy and standards through data architecture and implementation leveraging Big Data and analytics tools and technologies
Help drive a best-in-class data engineering practice that will be leveraged across GE
Work across multiple cross-functional teams in high visibility roles and own the data solution end-to-end
Bachelor's Degree in Computer Science, Information Technology or equivalent
Advanced degrees preferred.
Previous experience as data engineer or data architect,
Proficiency in SQL, and scripting language (Pig, Python, Perl)
ETL and CASE tool expertise
Working knowledge of Hadoop ecosystem
Good understanding of Agile, Scrum or similar methodologies