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1+ years of hands-on experience in professional or academic setting with cooperative autonomous driving and sensor simulation tools, (e.g., CARLA, LGSVL, CARMAKER, or similar). 2+ years of hands-on experience in professional or academic setting with at least one of microscopic traffic simulation tools (e.g., SUMO, Vissim, Aimsun, Transmolder, or similar.
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Hands-on experience with electrical CAD tools (Altium, Solidworks Electrical, Siemens NX, AutoCAD, Creo Schematics, OrCAD, etc.) Hands-on experience with electrical design for various systems (low voltage power, controls, instrumentation, ordnance, radio frequency, etc.
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Hands-on experience with Prisma Cloud for cloud governance, CI/CD pipeline integration, automated remediation, and runtime protection. Hands-on experience with Prisma Cloud, WIZ or other cloud governance/reporting tools and ability to describe remediation practices.
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Significant hands-on experience with Azure services such as Azure Data Factory, Azure Databricks, Azure Data Lake Storage (ADLS Gen2), Azure SQL, and other data sources.
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As Senior HR Data Analyst, this hands-on role will drive HR data discovery and collection, data security, data cataloging, data transformation, data analysis, data visualization, and reporting in support of the organization’s overall HR Data & Reporting objectives.
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Hands-on expertise working with Allegro, RightAngle, Endur, or similar platforms. Our Commodity Trading & Risk Management advisory practice is the epicenter of innovation, where we tackle the toughest challenges head-on and drive monumental shifts in the commodities landscape.
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At Deloitte Risk and Financial Advisory, we're on a mission to empower organizations to navigate these complexities with confidence. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case.
$97,613 - $188,375 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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At least 3 years of hands-on experience working with Apache Spark (Scala) for data processing and analysis. Manage and optimize data storage and retrieval processes on AWS and other cloud platforms.
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Job Description Job Description Description: The Mechanical Engineering Manager leads Engineering staff through hands-on design, validation, and technical development of automated food processing machinery.
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Requires hands-on familiarity with the government's office and network environment, including but not limited to, data processing environments, including office automation networks, PC-based databases and other applications, internet and server-based databases and other applications, such as Oracle, Relativity or other document review platform, Trial Director, et cetera or similar applications/databases.
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Hands-on experience with security tools for static code analysis, dynamic application security testing (DAST), and vulnerability scanning, using tools such as Fortify, Acunetix, and Prisma CloudProficiency in scripting languages (e.g., Python, Bash) for automation and tool integration.
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Hands-on experience or familiarity with CARMA ecosystem (e.g., CARMA platform, CARMA streets, CARMA messenger, and CARMA Cloud) Conduct research on a variety of transportation engineering projects, which encompass traffic simulation, CDA, Digital Twin, V2X, CV, safety, and Intelligent Transportation Systems (ITS.
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At Leidos, we support the Federal Highway Administration’s (FHWA) Saxton Transportation Operations Laboratory (STOL), focusing on enhancing transportation operations, safety, mobility, and reducing environmental impacts.
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Create guidance, training, and outreach materials aimed at technical audiences, practitioners, and various stakeholders, focusing on diverse aspects of transportation. While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.
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Lead, hands-on-deploy (from data onboarding, configuration, visualizations, alerting), and seamlessly integrate Elastic products and APIs into intricate platform architectures, harnessing years of technical expertise.
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hands on jobs Title: data architect Company: Diverse Lynx in Mclean, VA
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