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Excellent communication skills, both written and verbal, with the ability to convey complex security concepts to technical and non-technical stakeholdersCloud certifications such as AWS Solutions Architect Associate/Professional, AWS SysOps Administrator, AWS Developer, or AWS DevOps Engineer Like we said, we are big fans of our people.
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Graduate Big Data Analytics Natural Language Processing Machine Learning Data Mining Cybersecurity Cyber-Human Systems. The College stands out for its leading research in areas such as artificial intelligence, data analytics engineering, cybersecurity engineering, biomedical imaging and devices, community-based healthcare, autonomous systems, 5G/Next G communications, systems architectures, computational biomedicine, advanced materials and manufacturing, sustainable infrastructure, and more.
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You will work with big names and leaders in the field, focusing primarily on white collar criminal litigation, complex civil litigation, internal investigations, and compliance counseling. The exposure is second to none; litigating both criminal and civil cases at the trial and appellate level, as well as defending individuals and companies in prosecutions and investigations conducted by U.S. Attorneys’ Offices and multiple divisions of the U.S. Department of Justice (DOJ), including, Food and Drug Administration (FDA), Environmental Protection Agency (EPA), Securities and Exchange Commission (SEC) and Antitrust Division.
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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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Experience using modern containerization software including Docker, OpenShift and Kubernetes Experience with Snowflake, Microsoft Power BI, Splunk, Securonix, and CywareProficiency with automation tools such as Ansible, Chef or Puppet Project Management experience Industry related certifications such as PMP, GSLC, GISF, GSEC, CISSP Experience with big data tools: Hadoop, Spark, Kafka, etc.
$195,400 a yearFull-timeRemoteExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Familiarity with big data / visualization tools such as PowerBI, Tableau and the core concepts of relational data. Interprets data to identify trends, patterns, and insights to recommend business decisions.
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Experience with big data technologies & tools like Spark, Databricks, EMR. Experience with graph-based data workflows such as Apache Airflow, Meson. Implement asynchronous processes to run in the cloud for various data transformation operations.
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TBC meets the needs of consumers in search of total car care at more than 3,200 franchised and company-operated tire and automotive service centers under the brands NTB, Tire Kingdom, Big O Tires and Midas.
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Experience with big data solutions (e.g. Hadoop, Spark, Kafka, Cassandra) Background Information:Innovative Defense Technologies (IDT), provider of automated software testing, data analysis, and cybersecurity solutions for complex, mission-critical systems for the US Department of Defense (DOD) and commercial customers, is seeking a Sr. Software Engineer to be based in our Arlington, VA office.
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Mission Technologies is leading the next evolution of national defense – the data evolution - by accelerating a breadth of national security solutions for government and commercial customers. Minimum 4 years relevant Supply Chain Risk Management/Third Party Risk Management experience in conducting supplier assessments, developing SCRM/C-SCRM governance, and delivering agency-level SCRM/C-SCRM training and outreach materials.
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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 analytics, machine learning, artificial intelligence, or anomaly detection. As a cyber engineer, you will prevent adversary network threats, identify advanced attack vectors, and thwart methods of exploitation.
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Proficient understanding of relational (e.g. Oracle, SQL Server, PostgreSQL) and Big Data distributed structures (Hadoop/Spark) in order to source data effectively. The Data Scientist is responsible for using advanced statistical, algorithmic, machine learning, data mining and visualization techniques to help advance and complete client projects.
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Leverage big data technologies to efficiently process and analyze very large datasets, similar to those encountered in a federal agency. - Demonstrated experience working with very large datasets and leveraging big data technologies to process and analyze data efficiently.
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Follow us on LinkedIn #PoweringPossible Who You Are: You are a talented Systems Engineer – Level III with at least 10+ years of experience and a passion for thinking big, taking action, and delivering exceptional results.
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big job Title: data engineer Company: Dice in Suitland, MD
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