Data Integration Developer, Senior

Key Role:

Perform complex analysis, design, development, testing, and debugging of computer software on a common data platform. Participate in all aspects of the Software Development Life Cycle (SDLC). Take part in the iterative feedback process to define new and improve existing processes. Decompose feature requests into user stories based on functional and technical requirements. Research new and existing technologies for integration into the platform products and create design documents to be reviewed by the team. Analyze, normalize, and correlate data to identify, define, and evaluate complex relationships between potentially disparate data sets. Implement features and develop applications and add-ons using best practices and common coding conventions.

Basic Qualifications:

-7+ years of experience with IT

-5+ years of experience with an object-oriented programming language

-2+ years of experience with Python

-2+ years of experience with working as part of an Agile software development team

-2+ years of experience with Linux

-Experience with analysis and integration of structured and unstructured data sets

-Experience with version control tools, including Git or Subversion

-Ability to obtain a security clearance

-BA or BS degree

Additional Qualifications:

-Experience in developing Splunk queries and working with data models and the KV Store

-Experience with shell scripting

-Experience with using Web APIs, including REST or SOAP

-Experience with SQL databases

-Experience in working with distributed system architectures

-Experience with any or all of the following build automation and deployment tools: including Gradle, Maven, or Jenkins, configuration management, including Ansible or Vagrant, or virtualization tools, such as VirtualBox, VMware Player, Vagrant, or Docker

Clearance:

Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information.

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