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The Autonomous Database Team is responsible for building the cloud service framework powering various Oracle Autonomous Database cloud services, including Autonomous Data Warehouse (ADW) and Autonomous Transaction Processing (ATP.
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ARA offices throughout the United States and Canada provide a broad range of technical expertise in defense technologies, civil technologies, computer software and simulation, systems analysis, environmental technologies, and testing and measurement.
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Experience with Big Data stack using Hadoop, Spark, Accumulo or MongoDB, and Solr or Elasticsearch. You'll work on the development of tools and processes to drive DevSecOps maturity by automating infrastructure provisioning, software builds, regression testing, monitoring, and pushing releases across environments.
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Team Leadership Experience Education Bachelor’s degree in computer science, software engineering or other equally relevant field. QUALIFICATIONS Minimum Years of Experience: 10 years of experience in information technology, and 5 years of SharePoint Server engineering experience, and 3 years of experience as a SharePoint developer, and 3 years of client interaction and working independently as a thought leader.
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Integration Map Development - EDI, Application Files, Database
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Proficiency in using Compass, Power BI, Synchro 4D and Acumen Fuse software currently in use by Bechtel. Analyzes schedule data and identifies and acquires the information needed to complete work logics to interface between assigned disciplines or specialties.
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Virtru is a leading data protection provider backed by some of the foremost venture capital firms in Silicon Valley and the Mid-Atlantic region, including Iconiq Capital, Bessemer Venture Partners, Foundry Capital, and Tiger Global.
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Experience with digital technologies (Data, Analytics, IoT, Blockchain, eCommerce) and automation technologies (RPA, Machine Learning, AI). Minimum Education: · Bachelor’s Degree – Required · Bachelor of Science or Computer Science, Information Systems, Electrical/Computer Engineering or equivalent experience preferred Required Certifications: · No required certifications.
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Compiles data and conducts analysis to facilitate and continually improve airfield operations, to include information and management channels, programs, and devices. JOB RESPONSIBILITIESInspect all areas of the airfield including but not limited to pavements, markings, signs, lighting, obstructions, Bird/Wildlife Aircraft Strike Hazard (BASH), fencing, habitat management, construction areas, Foreign Object Debris (FOD), and airfield fueling activities by required regulations.
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We apply a variety of both classical and deep learning techniques to make sense of multi-spectral sensor inputs for autonomous detection, classification, and common-operating-picture synthesis and management.
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Lead the software licensing management such as Smartsheet, Go Daddy, Microsoft, Adobe, etc. Stay up to date on essential computer skills and best practices, such as word processing software, spreadsheet software, presentation software, Adobe software, email management, digital calendars, and video conferencing.
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Experience creating Big Data pipelines (ETL) from on-premises to Data Factories, Data Lakes, and Cloud Storage such as EBS or S3. Big Data systems (e.g., Cloudera Data Platform Private Cloud and Public Cloud.
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The SDS should have expertise and/or experience in implementing deep learning or artificial intelligence (AI) projects in a High-Performance Computing (HPC) environment; and will be experienced in working with federal government categorical data from flat files, data warehouses, and external/academic sources, and should demonstrate experience as a data scientist and/or machine learning engineer.
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Demonstrate proficiency in equipment, software, and systems installations; troubleshooting, customer relationship management, change management, risk management, and IT service management. Installs, maintains, and repairs voice and data communications cabling systems.
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The mission is accomplished by utilizing the intelligence process to effectively and efficiently exploit law enforcement, drug treatment, and prevention data involving drug trafficking, drug-related crime and violence, drug money laundering, and gang activity within and around the W/B HIDTA region.
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machine learning data science software developer jobs in Reston, St-charles, Missouri
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