Work Location : HQ
PRIMARY RESPONSIBILITIES: The candidate would support the Persona Analysis Office by performing System and Software engineering tasks for the Persona Toolkit (PTK). Develop and maintain software components to support efforts such as micro-services for loading multitude of data sources from various data platforms. This successful candidate will develop and maintain assigned persona analytic tasks requiring implementation, documentation and testing for the Identity & Behavior Discovery team. Analytics will be developed primarily, but not exclusively, in the customer cloud infrastructure using the Query Time Analytics (QTA) framework. 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 data could be metadata or content. Provide holistic solutions to extract value from large data sets. Research and develop original solutions to solve big data challenges. Collaboration with other developers in the customer’s Capabilities organization will be required.mated workflows to ingest and update complex transaction records to support stateful summarized events for follow-on analysis to be performed.
BASIC QUALIFICATIONS: The individual will be expected to:
•At least 16 years of general experience in computer science, computer engineering, mathematics, or a related discipline.
•At least 5 years of experience in software-intensive projects and programs for government or industry customers.
•At least 5 years of the experience must have been as a software engineer supporting software architecture development, requirement analysis, process execution and evaluation, selection and evaluation of COTS/GOTS tools, and integration (with both new and existing systems).
•A bachelor’s degree in computer science, engineering, mathematics or a related discipline may be substituted for four years of general experience. A master’s degree in computer science, engineering, mathematics, or a related discipline, may be substituted for an additional two years of general experience.
PREFERRED QUALIFICATIONS:
•Experience using Java, Python, MapReduce, Maven, Git, Jira and Confluence
•Prior experience developing analytics utilizing QTA is strongly preferred.
•Experience with customer GHOSTMACHINE analytic development is strongly preferred
•Experience with network technologies and protocols
•Familiarity with customer corporate systems and tools such as DX, TargetProfiler, GeoXplorer, LinkXplorer, Renoir, etc.
•Work in a team environment