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SSAI seeks a Cloud Software Engineer Skill Level 1 to support a suite of web-based applications that automate data management for IC data custodians. Shall have demonstrated ability to work with OpenSource (NoSQL) products that support highly distributed, massively parallel computation needs such as Hbase, Accumulo, Big Table, et cetera.
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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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The Cloud Design Engineer develops, maintains, and enhances complex and diverse Web-Based User Interfaces that interact with Big-Data Cloud systems based upon documented requirements.
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Experience with software frameworks used for searching, monitoring, and analyzing big data such as Splunk and Elastic Stack. The DevOps Engineer shall be part of a team responsible for developing and maintaining a comprehensive Metrics and Monitoring solution for HPC systems to ensure the reliability, performance, and scalability of HPC infrastructure.
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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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Systems Engineering, Software Development, Database Design and Engineering, Data Analytics, Semantic Web, Ontology Development, Research and Development, Big Data Processing, Predictive Analytics, Cloud Infrastructure Expertise, Cybersecurity, Intelligence, and Software Engineering.
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The Cloud Software Engineer develops, maintains, and enhances complex and diverse Big-Data cloud systems. Shall have at least two (2) years of experience with distributed scalable Big Data Store (NoSQL), such as HBase, CloudBase/Accumulo, Big Table, etc., as well as two (2) years of experience with the Map Reduce programming model, the Distributed File System (HDFS), and technologies such as Hadoop, Hive, Pig, etc.
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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.
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The Cloud Software Engineer develops, maintains, and enhances complex and diverse Big-Data cloud systems based upon documented requirements. Experience documenting ontologies, data models, schemas, formats, data element dictionaries, software application program interfaces and other technical specifications.
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As a Capital One Data Engineer, you. ll be part of a big group of makers, breakers, doers and disruptors, who solve real problems and meet real customer needs. We are seeking Data Engineers who are passionate about marrying data with emerging technologies.
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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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Discretionary Requirements -Cloud Experience: Shall have three (3) years demonstrated work experience with distributed scalable Big Data Store (NoSQL) such as Hbase, CloudBase/Acumulo, Big Table, etc.
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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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Our client is a small, rapidly growing woman-owned SDVOSB specializing in Engineering, Software Development, and Big Data Analytics. Our client is a small, rapidly growing woman-owned SDVOSB specializing in Engineering, Software Development, and Big Data Analytics.
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Cloud Experience: Shall have five (5) years demonstrated work experience with distributed scalable Big Data Store (NoSQL) such as Hbase, CloudBase/Acumulo, Big Table, etc. Develop software solutions by analyzing system performance standards, confer with users or system engineers; analyze systems flow, data usage and work processes; and investigate problem areas.
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big data jobs Title: engineer in Jessup, MD
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