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Experience with Big Data stack using Hadoop, Spark, Accumulo or MongoDB, and Solr or Elasticsearch. This is your chance to leverage your expertise in building enterprise cloud-native solutions involving Kubernetes, Rancher, AWS, and Azure.
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Reporting consumption advanced analytics, data science and ML.Skill sets: Python, Spark, (PYSPARK) used APIs to integrate with variousservices, Google big data services, Cloud data proc, data store, BigQuery,cloud composer Google data services.
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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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GCP Vertex, GCP Cloud and Big Query. Master's degree in Computer Science, Computer Engineering, Computer Information Systems, Software Engineering, or related area and 2 years' experience in software engineering or related area, We value candidates with a background in creating inclusive digital experiences, demonstrating knowledge in implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility seamlessly.
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The program delivers Engineering, Operations, Cybersecurity, and Service Management in support of a) Windows 10 and Windows 11 platforms managed using Microsoft Endpoint Management solutions, Microsoft Endpoint Configuration Manager (MECM) and Microsoft Intune in a hybrid joined Azure and on premises co-managed Active Directory; and b) MacOS environment (MacOS Monterey, Big Sur, Catalina) using the Casper Administration Management (CAM) and JAMF mobile device management system.
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Experience with Big Data technologies (Spark, MongoDB, Hadoop) You will contribute to the operationalization of a prototype system for a scalable NextGen space resiliency / flight safety program.
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EY delivers unparalleled service in big data, business intelligence, and digital analytics built on a blend of custom-developed methods related to customer analytics, data visualization, and optimization.
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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.
Full-timeExpandApply NowActive JobUpdated 25 days ago - UpvoteDownvoteShare Job
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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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Big data solutions for data lake implementations (Elasticsearch) Experience working with DevOps CI/CD related technologies (Azure DevOps, Git, Jenkins, Puppet, Docker, Confluence, Sonar Lint, and Junit.
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At least 10 years of Experienced with all the tasks involved in administration of big data and Meta Data Hub such as Cloudera. The selected candidate will be responsible for orchestrating, deploying, maintaining and scaling cloud infrastructure targeting big data and platform data management (e.g., data warehouses, data lakes) including data access APIs. Prepares and manipulates data using Hadoop or equivalent.
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Familiarity with ElasticSearch and other big data technologies like MapReduce, Apache Spark, and Scala. The job locations include Chantilly, VA. Education and Experience: A bachelor's degree and at least ten years of experience Active Top Secret/SCI with Polygraph Skills and Knowledge: Experience in cloud services such as AWS, Microsoft Azure, Google Cloud, IBM Cloud, or Oracle Cloud, including associated tools like EC2, EBS, S3, etc.
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What You'll Do: As a Senior Software Engineer , you will be responsible for working on projects that support and extend the full stack of the TRSS solutions suite to deliver global data using advanced search, big data ingestion and analytical processing using tools like MongoDB, Elastic, and Kafka as well as building leading edge web applications.
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We're a company predominantly focused on cyber security for our government customers yet our expertise in other areas include big data analytics, instructional design, information management, and computer network infrastructure.
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At Capital One, you’ll be part of a big group of makers, breakers, doers and disruptors, who love to solve real problems and meet real customer needs. As a Capital One SailPoint Engineer, you’ll work on our SailPoint IdentityIQ platform to support Identity Access Management needs.
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big job Company: Servicenow in Reston, VA
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