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Work on small projects analyzing a variety of big data covering national security, cyber security, business intelligence, online social media, human behavior and more. Previous experience performing research in data analytics or big data.
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Experience with big data solutions (e.g. Hadoop, Spark, Kafka, Cassandra) Experience working with AEGIS or similar missile defense and anti-air combat systems (e.g., AEGIS, THAAD, Standard Missile, and GMD.
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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. Experience with DevSecOps, CI/CD, IaC and CaC, IT Infrastructure Library, and IT Service Management.
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Experience in Big 4/public accounting performing audits and related services for a diverse client base, and at least 7-8+ years of transaction services / due diligence experience. Opportunity + rewards to make a big impact.
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Responsibilities: MuleSoft integration development, design, build, test, debug, deploy, APIs, and integrations Design and develop web services with SOAP and REST API's Develop detailed software design documentation and API documentation Work on cutting-edge technologies like Big Data, reliable messaging frameworks & ETL Do client showcases and demonstrations of developed solutions Design and develop APIs using MuleSoft Anypoint Platform.
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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. 3+ years in a hands-on role performing advanced predictive analytics using tools like Python, R, or Scala.
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In 2005, Craig teamed up with Tom Racosky, an experienced Chef from Houstons (now Hillstone), and together they started to mold their vision for Big Buns Damn Good Burgers, a modern burger joint with a rotating selection of delicious burgers and craft beer that felt more like a backyard party than a restaurant.
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Background in technical applications, familiarity with OSS is a big plus. About Grafana Labs: There are more than 20M users of Grafana, the open source visualization tool, around the globe, monitoring everything from beehives to climate change in the Alps. The instantly recognizable dashboards have been spotted everywhere from a NASA launch and Minecraft HQ to Wimbledon and the Tour de France.
$435,000 a yearFull-timeRemoteExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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As the Director, Product Management, you will:Establish the vision, strategy, and execution of the Treasury and Trading products, data, and services through understanding of the strategic Finance direction and technology architecture and big picture business needs.
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You’ll spend most of your time working with a wide variety of clients to deliver the latest data science and big data technologies and practices to design, build and maintain scalable and robust solutions that unify, enrich and analyze data from multiple sources.
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Job Description And ResponsibilitiesVisa U.S.A. Inc, a Visa Inc. company, needs a Data Scientist (multiple openings) in Washington, DC toWork within a team to generate business insights based on big data, identify actionable recommendations and communicate the findings to clients.
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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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Background in big data, Cloud, or SaaS sales is preferable. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark, Delta Lake and MLflow.
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Programming languages may include—but are not limited to—Python, R, SQL, Java, SAS, and MATLAB.Experience using technologies for manipulating structured and unstructured big data. Big data technologies may include—but are not limited to—Hadoop, Hive, Pig, Spark, relational databases, and NoSQL.Experience using Unix, Hadoop and related technologies (Spark, Hive, etc.
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big job Company: Servicenow in Silver Spring, MD
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Making the Move to Salary Transparency
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