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Provide engineering support for data triage and assessment by applying knowledge of Linux, cluster, and cloud computing capabilities, especially the Hadoop ecosystem and related distributed technologies such as Kafka and Presto.
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Technical: You have hands-on experience developing data science solutions from concept to production using open source tools and modern cloud computing platforms. As a Data Scientist at Capital One, youll be part of a team thats leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.
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Experienced in one or more cloud computing services and technologies including but not limited to: AWS/C2S, Microsoft Azure, Nutanix, VMware. Cloud certification is a plus. Experienced in one or more cloud computing services and technologies including but not limited to: AWS/C2S, Microsoft Azure, Nutanix, VMware.
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You will also need a solid understanding and hands-on experience with multi-cloud architecture, cloud computing, cloud storage, and cloud support operations and technology systems, as well as experience in designing and migrating applications to the cloud.
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Maximus Federal is on the lookout for a skilled Cloud Transformation Architect/Engineer, equipped with extensive technical know-how in cloud computing and a nuanced understanding of the challenges faced by federal agencies with national security mandates.
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Passionate about Cloud Computing and willing to dive into in-depth technical discussions. OverviewThe Cloud Operations + Innovation (CO+I) organization is the engine that powers Microsoft's cloud services.
$103,800 - $200,300 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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At least 12 years of technical and project management work experience in one or more digital development technical areas such as: digital financial services/fintech, digital economy, digital trade, cybersecurity, digital inclusion, emerging technologies (5G, artificial intelligence/machine learning, cloud computing), and/or other relevant digital skills.
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Experience in business development and proposal writing, preferably with USAID. Advanced degree in relevant field in economics, international affairs, business or other relevant technical areas. Experience working with USAID programs and projects.
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Design, plan, and integrate a data-intensive application framework using modern data-centric enabling technologies, cloud computing and virtualization architecture. 8 years of IT experience with a varied background of data dictionary development, data normalization, enterprise architecture, data storage, cloud infrastructure, IT security, and network engineering.
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A variety of technologies and practices are used including cloud computing, automation, artificial intelligence and machine learning within highly collaborative Agile teams. AARP offers a competitive compensation and benefits package including a 401(k); 100% company-funded pension plan; health, dental, and vision plans; life insurance; paid time off to include company and individual holidays, vacation, sick, caregiving, and parental leave; performance-based and peer-based recognition; tuition reimbursement; among others.
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Have awareness of Site Reliability Engineering concepts (observability, monitoring, pre-production checklists, incident management); Cloud computing technologies; Service management concepts and other infrastructural tools.
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Microsoft Exchange 2013 and 2016; User Activity Monitoring (UAM); IBM Big Fix; VxRail; MS SharePoint; MS Active Directory; MS Windows Desktop Computing; Remote Desktop Management; MS PowerShell Integrated Scripting Engine (ISE); MS Office (Outlook, Word, PowerPoint, Excel, Project, Access); Adobe Professional; Adobe Creative Cloud; Blackboard; Avaya phone systems; Cisco phone systems; Skype for business; New software and systems as the networks evolve.
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Professional; Adobe Creative Cloud; Blackboard; Avaya phone systems; Cisco. SharePoint; MS Active Directory; MS Windows Desktop Computing; Remote. Systems Administrator (Training Center/Lab Support.
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Subject matter expertise in emerging technologies like machine learning/AI or blockchain, as well as leading cloud computing infrastructures like AWS and Azure. Identify and pursue new business opportunities, occasionally serving as capture manager, proposal lead, or solution architect.
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GAI is a Federal government IT partner that focuses on Artificial Intelligence, Big Data Analytics, Cloud Computing, and Cyber Security. GAI's team members work side by side with government IT executives and OEM partners to solve complex business problems such as AI/ML, RPA, Cyber Security, Big Data, Data Center & Cloud.
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cloud computing jobs in Chevy Chase, MD
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