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    Data Analyst - Virginia, United States - Cornerstone Defense

    Cornerstone Defense
    Cornerstone Defense Virginia, United States

    3 weeks ago

    Default job background
    Description

    Title:
    Data Analyst

    *Clearance:

    *Active TS/SCI w/ Polygraph needed to apply
    • Company Overview:
    Cornerstone Defense is the Employer of Choice within the Intelligence, Defense, and Space communities of the U.S. Government.

    Realizing early on that our most prized assets are our employees, we continually focus our attention on improving the overall work/life experience they have supporting the mission.

    Our Team is pushed every day to use their industry leading knowledge to provide end-to-end solutions to combat our nation's toughest and most secure problems.

    If you are looking for a place to not only be professionally challenged, but encouraged and supported by a company that cares, don't look any further than Cornerstone Defense.

    .QUALIFICATIONS

    • Bachelor's degree in a related business or technical discipline, or the equivalent combination of education, technical training, or work/military experience
    REQUIRED KNOWLEDGE/SKILLS

    • 2 or more years of related software engineering and ETL experience
    • Demonstrated experience building and maintaining data flows in NiFi or Pentaho or Java
    • Excellent organizational, coordination, interpersonal and team building skills
    DESIRED KNOWLEDGE/SKILLS

    • Demonstrated experience with the following languages: Java/J2EE, C, C++, SQL, XML, XQuery, XPath, HTML/XHTML, CSS, Python, Shell Scripting, JSON, JavaScript
    • Demonstrated experience translating data insights into tools or analytic capabilities that inform operational decisions and/or improve processes
    • Demonstrated experience with relational databases (ex - Oracle / MySql)
    • Demonstrated experience with GPU processing
    • Demonstrated experience with search architecture and data visualization tools (ex - ElasticSearch, OmniSci)
    • Demonstrated experience applying machine learning methodologies to build high-quality prediction models
    • Familiar with servers operating systems; Windows, Linux, Distributed Computing, Blade Centers, and cloud infrastructure
    • Familiar with database methodologies
    • Familiar with Source code management and integration (ex - GitHub/GitLab, Jenkins, RunDeck)
    • Familiar with Data Science frameworks such as Keras, Tensorflow, or Theano
    • Ability to work well in a fast-paced, constantly evolving work environment with a focus on continual process improvement and a proactive approach to problem solving

    KEY RESPONSIBILITIES

    • Provide support in the areas of data extraction, transformation and load (ETL), data mapping, analytics, operations, databases, and maintenance of data and associated systems
    • Develop and manage complex data flows, or makes significant enhancements to existing pipelines
    • Troubleshoot complex problems and provide customer support for the ETL process
    • Resolve complex hardware/software compatibility and interface design considerations
    • Conduct investigations and tests of considerable complexity
    • Research emerging technologies to determine impact on application execution
    • Communicate clearly and effectively with teammates, customers, and external partners
    • Prepare written and verbal communications on analyses, findings, and project progress
    • Write and maintain technical documentation
    • Advise hardware engineers on machine characteristics that affect software systems, such as storage capacity, processing speed, and input/output requirements
    #J-18808-Ljbffr

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