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Google Certified Cloud Architect, Google Certified Data Engineer, AWS Certified Solutions Architect, Azure Solutions Architect. A career in our Cloud and Network Architecture practice, within Cloud Computing and Networking services, will provide you with the opportunity to focus on the joint business relationship between PwC and Google, HP, Microsoft, Oracle, SAP, and other cloud based platforms that bring new and innovative services to some of the largest companies.
Full-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Involvement in building Infrastructure as Code (IAC)Willingness and the ability to pick up and learn new coding languagesDeep understanding of security, reliability, performance and cost-effectiveness of distributed systems on public cloud providers like Amazon AWS, Microsoft Azure and Google GCP.
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Experience at a retailer or digital platform companyProven track record of conceiving and building platformsExperience with OKRs and iterative product development (Agile)Experience using GitHub, Atlassian, Microsoft Azure, and Google Cloud products About Matlen Silver Experience Matters.
$70 - $75 an hourFull-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Minimum of 3 years of experience working with Microsoft cloud technologies, ideally including Azure Data Services, Azure AI Services, and/or Power Platform. Bonus points if you have: Preferred certifications: Ideally, you have at least 1 Microsoft certification, such as Microsoft Azure Fundamentals, Azure Data Scientist Associate, Azure AI Engineer Associate, Power Platform Solution Architect Expert, or equivalent.
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What you will be doingAdministration and technical support for the Microsoft 365 environment, including O365, Azure, Viva, OneDrive, Sharepoint, Teams, PowerBI, Fabric, Copilot. Knowledge of Authorization & Authentication in Microsoft hybrid environment and experience with Azure AD including Single Sign On (SSO) and Multi Factor Authentication (MFA.
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Experience with cloud technologies, particularly Google Cloud and Vertex AI, and adaptability to technologies like Microsoft Azure or open-source tools. Experience in diverse Client platforms, including Google Vertex AI and other cloud and open-source technologies, is essential.
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Experience with Cloud using Amazon Web Services (AWS), Microsoft Azure, and/or Google Cloud Platform (Google Cloud Platform) Experience with Cloud using Amazon Web Services (AWS), Microsoft Azure, and/or Google Cloud Platform (Google Cloud Platform.
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Microsoft Azure And/or AWS Cloud Computing Experience (Azure Preferred) Drive the adoption of cloud technologies, particularly Azure and AWS, across the enterprise.
$180,000 - $200,000 a yearFull-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Develop strategic partnerships: Foster strong relationships with key partners like Microsoft, Google Cloud, AWS, Snowflake, Databricks, and Informatica. Craft compelling value propositions: Demonstrate how our cloud data services (AWS, GCP, Azure, Snowflake, Databricks) deliver tangible business outcomes and competitive advantage.
ExpandApply NowActive JobUpdated 16 days ago - UpvoteDownvoteShare Job
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Desired :experience in Cloud software service including designing for scale, performance and reliabilityexperience in system architecturecapability to build, mentor and maintain an inclusive team-based environmentbuilding solution using elastic architectures (preferably Microsoft Azure and Google Cloud Platform.
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Strong foundational knowledge across Microsoft Azure, Google Cloud, and/or Amazon AWS technology stack. Standardizing Azure/GCP and/or AWS Security Best practices, processes, and procedures.
$88,000 - $155,000 a yearFull-timeRemoteExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Knowledge of emerging Microsoft technologies: Azure cloud platform, PowerBI, PowerApps, etc. As the Director of Business Information Systems, you will provide hands-on leadership role responsible for the ERP and CRM within our Microsoft D365 environment as well as manufacturing systems and CPQ (configure, price, quote) systems across the enterprise.
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Extensive experience or knowledge of cloud-based data platform technologies such as AWS, Microsoft Azure or Google Cloud Computing. In depth knowledge of modern data technologies including Snowflake, RedShift, Azure SQL/Synaspe, Databricks or similar technologies.
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Experience working with networking, azure cloud, firewalls, routers/switches, security, identity and access management, storage. Experience with Microsoft Sentinel (or other SIEM tools.
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Ensure end-to-end integration for data to AI, including the use of BigTable/BigQuery for executing machine learning models on business intelligence tools. V-Soft Consulting is currently hiring for a Sr ML (Machine Learning) Engineer for our premier client in Cincinnati, Ohio.
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