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Familiarity with cloud services (AWS, Google Cloud, etc.) The ideal candidate will have a deep understanding and extensive experience in data science, including machine learning, predictive modeling, and data visualization.
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Build and maintain a secure platform to automate onboarding/offboarding leveraging Cloud SaaS, IaaS, PaaS, such as Azure App Services, Functions, Batch, Okta Identity Engine, Okta Workflows, Salesforce, Freshservice, Zoom, PagerDuty, Box, Datadog, Fortinet, Google Workspace, and Office 365, using their interfaces such as RESTful API or system specifics like Exchange Online PowerShell and Microsoft Graph API.
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Demonstrable experience creating, managing, and reporting on social media ad campaigns, including- but not limited to- Facebook, Twitter, Instagram, LinkedIn, TikTok, YouTube, and Google. Experience with third-party social media dashboard platforms such as Salesforce Marketing Cloud, Sprout Social, and/or Hootsuite is required.
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Structure and communicate complex and ambiguous business issues to advise the Google Cloud Sales leadership team. You will combine your problem-solving skills and business acumen to help drive and develop the strategy and performance metrics business and ensure rapid and long-term sustainable growth of Google Cloud.
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Founders from Google and AWS. Our client offers a real-time, big data cloud database. 8+ years of experience selling B2B Enterprise (SaaS) technology to IT Infrastructure Management to IT.
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Practical experience with at least 1 of Microsoft Azure, Google Cloud, or Amazon Web Services. The successful applicant will be passionate about the future of cloud-init, mindful of the dynamics of the open source ecosystem, and aware of the needs of large, innovative customers.
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You can also delve deep into our world-class digital learning content from Circus Street and Cloud Academy on a variety of tech and business topics. We’re experts in reskilling, upskilling, apprenticeships, and other talent needs for leading enterprises and public sector organisations in the UK and we’re proud to work with some of the world's biggest brands including the BBC, AWS, Google, Deloitte, JP Morgan as well as small organisations to give them the competitive edge in the digital world of today.
ExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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Proficiency in programming languages like Python, R, or Scala. Strong knowledge of machine learning models, statistical modeling techniques, and data mining. Using predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting, and other business outcomes.
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Extensive experience or knowledge of cloud-based data platform technologies such as AWS, Microsoft Azure or Google Cloud Computing. Intimately familiar with data technologies, data architecture frameworks, cloud platforms and the emerging trends in technological advancements.
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Basic understanding of cloud services (AWS, Azure, Google Cloud). Title : Machine Learning Engineer. Proficiency in programming languages such as Python (numpy, pandas, scikit-learn, TensorFlow, Matplotlib, Leras) or R (dplyr, ggplot2, caret, xgboost.
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Certifications: AWS Certified DevOps, Azure Administrator / Azure DevOps, Google Cloud Engineer; Experience with cloud solutions (Azure, AWS, GCP), Azure AD, Azure WVD, ARM templates, Kubernetes, Containers, Terraform, Azure DevOps, Python, React (5+ years.
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Minimum of 3 years of experience managing onboarding, offboarding, access provisioning using Modern Architecture with SSO SAML v2.0 with Okta OIN SCIM, and interfacing Cloud Services to automate tasks using Microsoft Graph API, Exchange Online PowerShell, and RESTful APIs.
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Experience with an enterprise level ESP (Email Service Providers: Experian, Yesmail, Cheetah Digital, ExactTarget/Salesforce Marketing Cloud, Zeta Global, etc.) Experience using Adobe Analytics, Google Analytics, and other marketing automation platforms.
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Amazon Web Services (AWS), Google Cloud Platform (GCP) Cloud Security Practices and principles (e.g., AWS SRA, CIS, etc.) Understanding of Cloud security practices for data protection and loss prevention.
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Or relevant industry certification such as Microsoft Certified Solutions Developer (MCSD), AWS (Amazon Web Services or GCP (Google Cloud Platform) Work directly with Architecture team to design, deliver and continuously improve architecture to meet and exceed resiliency standards using Azure Cloud and.
$108,430 - $246,870 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago
google cloud jobs in Doral, FL
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