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Enlighten, honored as a Top Workplace from the Baltimore Sun, is a leader in big data solution development and deployment, with expertise in cloud-based services, software and systems engineering, cyber capabilities, and data science.
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Conferences(recently attended by Praxis employees): AWS Summit, IoT World, Black Hat and DefCon. Training & Certifications:Splunk, AWS, Big Data/Cloudera, VMWare, Scrum list of certifications goes on and on.
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GliaCell’s Enterprise capabilities include Full-Stack Application Development, Big Data, Cloud Technologies, Analytics, Machine Learning, AI, and DevOps Containerization. Database design/operations/maintenance, reverse engineering, data normalization and cleansing, scripting, data analysis and visualization, data security.
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By combining unparalleled experience and capabilities, our company provides big data, cloud development, and enterprise management solutions. Requirements: Bachelor's Degree in a relevant technical field (additional 4yrs experience w/o degree, less 2yrs with Masters) 7 yrs experience Typescript and Angular 14+ Experience in Full stack, with Java Script Experience with JSON IAT Level 2 Certification Preferred Qualifications: Experience in Java Experience in Python MongoDB, Kubernetes (Docker) Relational data bases (MySQL, Postgres, Oracle, Sybase, etc.
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Asking questions, failing fast, and writing maintainable code are at the center of what we do while building applications for the Big Data Platform (BDP). Work closely with designers, backend engineers, and data scientists to build holistic user experiences.
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Projects range from data integrations with enterprise systems (e.g. Netsuite, HRIS) to building big data solutions to host predictive modeling. This role will lead our data engineering team reporting to the VP Technology.
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Our capabilities range from C5ISR, AI and Big Data, cyber operations and synthetic training environments to fleet sustainment, environmental remediation and the largest family of unmanned underwater vehicles in every class.
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Prior experience or familiarity with DISA's Big Data Platform or other Big Data systems (e.g. Cloudera's Distribution of Hadoop, Hortonworks Data Platform, MapR, etc.
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If you are fully-cleared and work in Software Engineering, Data Science, Cyber/CNO/CNE, Vulnerability Research, or Cloud/Systems Infrastructure projects, our client likely has multiple efforts that would interest you.
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Prefer knowledge of working with Big Data, dataflows, analytics in GME and Jupyter notebooks and Spark. Experience Relevant experience must be in computer systems research; simulation/model development and prototyping; software design programming; computational science; algorithm analysis and design; reverse engineering; and/or designing/developing computer or information systems, including engineering hardware and/or software.
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Enlighten, honored as a Top Workplace from USA Today, is a leader in big data solution development and deployment, with expertise in cloud-based services, software and systems engineering, cyber capabilities, and data science.
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