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Understanding or hands on experience with Lex, Nuance Mix, Dialog Flow, AWS and Google Cloud, R, Power BI, Tableau, Alteryx; Applying experience with cloud platforms, such as AWS, Google Cloud, or Microsoft Azure.
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Experience and knowledge of cloud data platforms (such as AWS, Azure, Google Cloud Platform and Snowflake) and other data technologies (such as Informatica, Collibra, etc.) 2-3 years of experience in defining enterprise data strategy in the areas such as AI, data management, data governance, data supply chain, data security, data archival, data quality, master data management, data architecture, automation and/or cloud data migration for medium to large scale corporations.
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An understanding of cloud infrastructure and experience with related platforms (e.g., AWS, Azure, Google Cloud Platform) HTML, CSS, and React/Javascript knowledge. This model allows us to work in a variety of workplaces that best support our success, including fully office-based, fully remote, or hybrid.
$158,000 - $212,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Working knowledge of Native AWS Security tools (Macie, Guard Duty, Inspector, Control Tower) along with Google Cloud and Azure. Perform security assessments on cloud deployments in AWS, Azure, and Google.
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Strong experience with cloud environments such as Azure, Oracle Cloud, and Google Cloud. Google Certified Professional Cloud Developer. Demonstrated implementation of microservices, container and cloud-native application development, API development and automation.
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Certifications one or more: Google - Professional Data Engineer; AWS - Developer - Associate; Azure - MCSA: Cloud Platform (Development Focus) Providing knowledge of container management tools (e.g. Docker, OpenShift), container orchestration (e.g. Kubernetes), infrastructure-as-code (e.g. Ansible, CloudFormation), and have familiarity with modern build experience tools (e.g. Maven) and cloud integration systems (e.g. Jenkins.
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We are seeking a talented and experienced Google Cloud Platform (GCP) Cloud Engineer to join our team. Proven experience as an GCP/Azure Cloud Engineer or similar role, with a strong focus on GCP/Azure infrastructure deployment, Kubernetes, and management.
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In-depth knowledge of cloud platforms like Amazon Web Services (AWS), Microsoft Azure, Google Cloud Platform (GCP), or others. Holding relevant certifications, such as Certified Cloud Security Professional (CCSP), Certified Information Systems Security Professional (CISSP), or vendor-specific certifications (e.g., AWS Certified Security - Specialty, Azure Security Engineer Associate) is a plus.
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Or relevant industry certification such as Microsoft Certified Solutions Developer (MCSD), AWS (Amazon Web Services) or GCP (Google Cloud Platform) While on one hand, you will propose, design and drive agile bespoke solutions, on the other you will grow into subject matter experts around transfer pricing processes for our large Finance Transformation and ERP Implementation projects.
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Marketing Cloud (formerly ExactTarget), AirTable, WordPress, GA4, Adobe Creative or Canva (experience preferred), SmartSheet, Google Tag Manager, Cision, UTM tracking, SEO experience Salesforce or donor mgmt CRM (experience preferred) Zoom Webinars or Events.
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Leverage various cloud platforms such as AWS, Azure, or Google cloud to build, train, and deploy machine learning models at scale. As a Machine Learning Engineer with cloud experience, you will be responsible for developing and deploying machine learning models to solve complex problems across a cloud infrastructure that houses sensitive data and models that support mission critical operations.
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Extensive hands-on experience with leading cloud platforms such as AWS, Azure, or Google Cloud, including services such as EC2, S3, Lambda, EBS, etc. Experience building AWS cloud infrastructure solutions at scale across multiple classification domains (IL5 to IL6+) simultaneously.
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Deep understanding of mainframe technologies and cloud platforms (AWS, Azure, Google Cloud). Relevant certifications (e.g., AWS Certified Solutions Architect, TOGAF) Deep understanding of mainframe technologies and cloud platforms (AWS, Azure, Google Cloud.
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GitLab / Python and R Studio / Cloud Services (AWS, Google Cloud Platform, Oracle) / Natural Language Processing (NLP) Machine Learning / Cloud Engineer - Hybrid - TS/SCI. Hands-on experience with major cloud platforms.
$250Full-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Google Cloud Professional Cloud Architect preferred. Strong understanding of cloud platforms such as AWS, Azure, or Google Cloud. Proficiency in cloud management and automation tools (e.g., Terraform, CloudFormation, Ansible.
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