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Understanding of DevSecOps. Experience engineering Cyber Security solutions using structured and unstructured Big Data. Experience engineering Cyber Security solutions using Automation, Augmentation and Artificial Intelligence technologies.
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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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Develop Data Governance Tactics, Techniques and Policies (TTPs) to ensure that CCI EMSO remains ahead of Big Data demand and projects chartered by OUSD (I&S) that support Data Engineering and Science initiatives.
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Data Science, Software Engineering, Cloud/AWS Infrastructure, and Cyber/CNO are our core areas of expertise. We are a multi-faceted software development and systems administration team working to build and maintain software applications backed by a self-managed cloud infrastructure (OpenStack) with a true big-data footprint (over 10 petabytes.
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BlackSky has extensive expertise and capabilities in commercial remote sensing, multi-source analytics, cloud computing, open-source software development, Amazon Web Services, and big data geospatial analytics.
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Create data science and data engineering products that include data models, data ingestion/transform, analytics which may include machine learning, and some form of output as either a machine-readable format (e.g., file output, database output, standard/streaming output) or a user interface or dashboard.
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The ideal candidate will have a strong background in data engineering and be proficient in using Logstash and Databricks for data processing and analytics. Proficiency in Databricks for data analytics, ETL, and data engineering.
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Our client seeks a Machine Learning Engineer to provide data science and data engineering services, including developing data models, data ingestion/transformation, analytics, and machine learning.
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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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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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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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Experience with Big Data stack using Hadoop, Spark, Accumulo or MongoDB, and Solr or Elasticsearch. Overview Intelligent Waves has grown by more than 70% in the past two years and has an outstanding new opportunity for a Senior Site Reliability Engineer professional on our team in Reston, VA. Since 2006, Intelligent Waves has delivered mission-focused multi-domain operational expertise and innovation to the Government through high-impact technology solutions in cybersecurity, data science, enterprise network engineering, software development, and platform mission support.
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Requirements Manager, Systems Engineering. Model Based Systems Engineering (MBSE) experience with leading tools such as Cameo. Candidate should have proficiency with requirements meta-data and frameworks.
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Experience with data wrangling of large datasets using commercial or open-source data science tools and big data frameworks such as Apache Spark. Big Data, Data Science, Machine Learning.
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Full stack experience with modern application development including backend development, modern UI frameworks, relational databases, microservices, containers, and developing applications for big data platforms.
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big data engineering jobs in Herndon, VA
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