Work location- Leidos
DESCRIPTION: The Valuation Team’s objective is to provide data driven analysis that directly influences leadership’s ability in making critical decisions. One of the ways they do this is by prototyping analytics that capture and generate metrics on data, that their data scientists can then use them for data analysis. They are also working on other Java analytics that would be specific in capturing different types of data beyond what the team does today. This includes data tagging, processing, visualization, and analytic development.
PRIMARY RESPONSIBILITIES:
Working in a variety of environments, the successful candidate will use leading edge technologies to develop analytics pulling data from multiple cyber sources, as well as classic SIGINT. These analytics will be used in standard presentation systems throughout the enterprise to support missions throughout the world covering a variety of subjects. You will be developing prototypes answering new questions as well as providing better answers to existing questions. There are also opportunities to evaluate and work with new leading edge platforms, frameworks and technologies, all while working directly with the customer in a highly collaborative, integrated environment. This position is perfect for someone who likes to work in an environment that uses leading technologies in a fast paced environment.
What you will like about this position…
The candidate will be part of Persona Analysis’ Financial Intelligence (FININT) team looking to automate a series of analytics that will discover new, pertinent artifacts, patterns in those artifacts, and setting up the review of those artifacts rated as significant by analysts to be evaluated. The developer shall possess the necessary skills required to implement an end-to-end solution including (but not limited to) accessing existing datasets, creating new datasets by ingesting data, performing analytic functions and exposing analytic results to the users. The developer will also need to be able to review and introduce relevant technologies (Java MapReduce, QTA) to automate those analytics to refine the datasets to those artifacts needing review.
BASIC QUALIFICATIONS: The candidate must have:
•At least five (5) years of general experience in software development/engineering, including requirements analysis, installation, integration, evaluation, enhancement, maintenance, testing, and problem diagnosis/resolution.
•At least three (3) years of experience developing software with high level languages (such as Java, C, C++), developing software in UNIX/Linux (RedHat versions 3-5+), and software integration and testing (to include developing and implementing test plans and scripts).
•At least two (2) years of experience with distributed scalable Big Data Store (NoSQL) such as H Base, CloudBase/Accumulo, Big Table, etc., as well as Map Reduce programming model, the Hadoop Distributed File System (HDFS), and technologies such as Hadoop, Hive, Pig, Etc.
•Shall have demonstrated work experience with 1) Serialization such as JSON and/or BSON, 2) developing restful services, and 3) using source code management tools.
•A bachelor’s degree in computer science, engineering, mathematics or a related discipline may be substituted for 4 years of general experience.Developing answers to questions via Java Map/Reduce, making them available via the corporate tool suites
•Opportunities to research and work with multiple platforms for development
•Working in a cohesive, small team environment