Data Engineer needed to help build out and tune data processing pipelines and scenarios for both integration and interactive analysis of large data sets in distributed systems. The ideal candidate will be equal parts technologist and evangelist - capable of both communicating the innovation and value proposition of big data processing, storage, and analysis to a variety of IT and business stakeholders as well as the experience necessary to build out the solutions that make the art of the possible a reality. In this role, you'll be involved throughout the lifecycle of a big data/analytics project, from engaging with end users to understand the desired goals and outcomes of the solution, help to determine the optimal technical approach from data sourcing to end user consumption, and help to educate internal and external stakeholders on how to access the data and incorporate it into their business rhythms.
You can expect to support the company in the construction of technical prototypes, demos, and internal analytics community education, as well as supporting a variety of business areas and functions to help advance their big data initiatives. The position requires self-motivated individuals combined with hands-on entrepreneurial spirit and exceptional drive, with the ability to work in a fast-paced multi-disciplinary environment.
Limited travel (25% or less) is required for this role. This position can be located at any major Lockheed Martin facility or Telecommuting may be considered.
US Citizenship is required for this program.
Bachelors degree from an accredited college in a related discipline, or equivalent experience with 9 years of professional experience; or 7 years of experience with a related Master's degree.
Extensive work experience in the development, installing, configuring and the tuning big data processing pipelines for the transfer of date from various sources into Hadoop using open or commercial ETL Tools.
Demonstrate work experience in translate technical results to business centric, actionable insights - With a clear demonstrated ability- of communicating the innovation and value proposition of big data processing, storage, and analysis to a variety of IT and business stakeholders.
Experience in designing and implementing optimal data storage options
Experience in developing Big Data solutions leveraging Java, Scala, Python, SAP BODS or R.
Experience installing, configuring, and tuning big data environments.
Experience with extensive data modeling, REST API, Python, Kubernetes and ETL.
Ability to translate technical results to business centric, actionable insights
Excellent written, verbal and presentation skills
US Citizenship is required for this program
Lockheed Martin Corporation