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Shall have experience diagnosing and troubleshooting large scale cloud computing systems including familiarity with distributed systems for storage and retrieval of data e.g. Hadoop, CASSANDRA, SCALITY, SWIFT, Gluster, Lustre, GPFS, Amazon S3, or another other comparable technology for big data management or High performance computing.
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The Infrastructure Engineer will implement, maintain, and enhance complex infrastructure systems (e.g., multi-purpose hosting, virtualized environments, big data analytic systems, cloud environments, real-time systems, business management information systems, logging and monitoring systems, hardware, Active Directory, Linux/Unix- Windows- or OSx-based, storage area networks (SAN), LAN and WAN networking, and other infrastructure-related components) based upon documented requirements.
$81,250 - $146,875 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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As a leading IT Solutions provider, we're seeking a dynamic individual adept at federal proposal solutions, particularly in digital modernizations efforts , BIG Data , Artificial Intelligence , Machine Learning and Advanced Data Management.
$185,000 - $225,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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GliaCell's Enterprise capabilities include Full-Stack Application Development, Big Data, Cloud Technologies, Analytics, Machine Learning, AI, and DevOps Containerization. Develop derived requirements for Information Assurance Services (Confidentiality, Integrity, Non-repudiation, and Availability); Basic Information Assurance Mechanisms (e.g., Identification, Authentication, Access Control, Accountability); and Security Mechanism Technology (Passwords, cryptography, discretionary access control, mandatory access control, hashing, key management, etc.
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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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Desired: · Shall have experience diagnosing and troubleshooting large-scale cloud computing systems, including familiarity with distributed systems e.g. Hadoop, CASSANDRA, SCALITY, SWIFT, Gluster, Lustre, GPFS, Amazon S3, or another other comparable technology for big data management or High-performancecomputing · Demonstrated ability to work independently on complex tasks, and show a willingness to educate and train more junior technicalresources.
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The ideal candidate will have strong working knowledge in Linux systems administration, and a background in Big Data solutions, configuration management, automation, scripting, and AWS. The DevOps Engineer will be responsible for implementing infrastructure, automating deployment processes, and ensuring the reliability and scalability of our services.
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Deliver insights to help our clients turn data into action as a Database Analyst Advisor at GDIT. Your work will provide transformative solutions to our clients' big-data obstacles and help advance the mission.
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Cloud development experience such as Hadoop, Big Data ( Cloud base /Accumulo and Big Table) as well as JSON/BSON. Experience with Software Configuration Management Tools such as JIRA, GIT, Confluence and Agile Methodologies.
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The Software Engineer develops, maintains, and enhances complex and diverse software systems (e.g., processing-intensive analytics, novel algorithm development, manipulation of extremely large data sets, real-time systems, and business management information systems) based upon documented requirements.
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We work closely with agencies and industry to overcome technical and cultural hurdles to innovation, empowering them with the latest end-to-end cloud infrastructure, big data and cyber capabilities.
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7+ years of relevant experience in designing/implementing machine learning, data science, advanced analytical algorithms, programming, data mining, advanced statistical analysis, advanced mathematical foundations, artificial intelligence, workflow and reproductibility, data management and curation, data modeling and assessment, experience as a data scientist working to support a single or multiple domain areas, and/or software engineering.
$140,000 - $200,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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The Risk Management Subject Matter Expert (SME) provides advice and assistance, and formally drafts recommendations/plans in supporting the development of agile solutions, consisting of mitigation strategies for all aspects of risk management and due diligence.
$82,192 - $135,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Experience with big data technologies like: Hadoop, Spark, MongoDB, ElasticSearch, Hive, Drill, Impala, Trino, Presto, etc. Proficient in configuration management tools such as Ansible or Puppet.
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Experience with distributed scalable Big Data Store (NoSQL) such as H Base, CloudBase/Accumulo, Big Table, etc. Experience with Serialization such as JSON and or BSON; developing restful services; and using source code management tools.
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management big data jobs in Harmans, MD
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