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Performs test-driven software engineering and development activities associated with designing, developing, maintaining, and enhancing the Big Data analytic system using an Agile DevSecOps model.
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Experience with Big Data technologies (Spark, MongoDB, Hadoop) This is a major system and is supported by an inter-disciplinary set of teams providing full lifecycle software development, cloud, data and systems engineering.
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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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We are looking for ambitious, self-starting individuals who have a background with software engineering and software development (e.g., applications, web, embedded, tools, database); systems engineering (DevOps, Cloud, Linux) or IT project management; machine learning and artificial intelligence (e.g., genetic algorithms, neural networks, natural language processing/NLP); and/or Data Science (big data, data modeling, data analytics or business analytics.
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ManTech is seeking a Software Tester in Herndon, VA. Join a high performing team of Software Developers, DevOps Engineers and Data Engineers delivering automation and big data analytics for the Intelligence community.
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Mid-level (6 years minimum) working experience in government or industry in data base management or Big Data analysis. Skills and Experience: Required: Bachelor's degree or higher in Engineering, Computer Science, Information Technology, Management Information Systems, or related STEM degree program, 6 years experience as an integration engineer may be considered in lieu of a degree.
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Build valuable expertise in AWS services used in Machine Learning, IoT, image recognition, chat bots, and Big Data. The Public Sector Prototype and Customer Engineering (PS PACE) team helps customers solve their most interesting business challenges by rapidly developing innovative prototypes using world-class cloud and open-source technologies.
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Experience: 8 years Experience in leading data engineering and cross functional team to implement scalable and fine tuned ETL/ELT solutions for optimal performance. The Lead Data Engineer is responsible for orchestrating, deploying, maintaining and scaling cloud OR on-premise infrastructure targeting big data and platform data management (Relational and NoSQL, distributed and converged) with emphasis on reliability, automation and performance.
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Highly desired, though not required, include: Skills and demonstrated experiences that are highly desired but not required to perform the work include: Demonstrated experience with cloud services, such as AWS. Demonstrated experience using big data processing tools such as Apache Spark or Trino.
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With over ten years of experience in research, engineering and development, we take a “big picture” approach to meeting our business needs, prioritizing both technical and soft skills in the workplace for improved performance.
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Geospatial tools, Big Data and Graph Products (Hadoop, MapReduce, Spark, ElasticSearch, Neo4j), Linux, OpenStack, AWS, Ansible, SQL/NoSQL, Text Processing, Cloud Services, Containerization, Infrastructure as Code (IAC), and more.
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Shall possess experience in large scale, high-performance enterprise big data application deployment and solution architecture on complex heterogeneous environments in AWS.Shall possess experience with automation and engineering tasks, implementation, data, infrastructure/operations, and security engineer tasks in cloud environments.
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Provide network knowledge and experience with cloud computing environments (AWS, VMWare, Azure), high-speed, and big data. This is a Network Engineering (System Engineering Technical Advisor-SETA) position within the Intelligence Community (IC) client's COMM Network Systems Group (NSG.
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Expert Data Integration project experience on Hadoop Platform, preferably Cloudera., at least one project some AWS cloud experience and exposure to MongoDB is a big plus Knowledge and understanding of at least one programming language (i.e., SQL, NoSQL, Python.
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Be the preferred SOURCEfor cutting-edge Analytic Products, Systems & Software Engineering, Big Data Integration, IT and Business Services that directly contribute to customer success.
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big data engineering jobs in Chantilly, VA
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