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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.
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Assist with periodic testing of disaster preparedness for the Azure Cloud Platform, TN and TX FHN Data Centers. Knowledge of: advanced level administrative knowledge of Microsoft Active Directory, Azure Active Directory, and hybrid identities; and familiarity with creating and tuning data loss prevention policies and data classification policies.
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2+ years of hands-on experience in public or private cloud, including systems and network management, primarily in Microsoft Azure and AWSThorough understanding of emerging hybrid cloud environments (public - private)Demonstrated ability to perform consulting, architecture, implementation, support, and migration to cloud platforms (e.g. Microsoft Azure, AWS, Red Hat Cloud Suite, Google Cloud Platform, OpenStack, VMware, etc.
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Good knowledge on Microsoft Cloud adoption framework for Azure. As a Microsoft Azure DevOps Engineer, you will join an expanding team with a broad range of enterprise scale customers and projects.
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At least 3 years of experience in cloud computing and Microsoft Azure or Course Training. One or more certifications in Microsoft Azure and cybersecurity (e.g., Azure Solutions Architect, CISSP, CISA, CISM, CEH, GSEC, GCIH.
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Strata works closely with our partners at Microsoft Azure, Okta, AWS, GCP, and VMware to ensure interoperability through deep, native integrations. Strata's platform - Maverics - is identity middleware that connects identity infrastructure (Okta, Microsoft, Ping, AWS and others) with applications to modernize security and automate IT processes, all without requiring any rewriting of applications saving millions of dollars in measurable expenses.
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Preferred Qualifications Knowledge of Mac and Jamf Administration Knowledge with administrating Office 365 Experience with Azure and AWS Cloud Knowledge of Azure AD Bash scripting knowledge Experience working with cloud and virtualization technologies Experience with Windows Server Administration EDUCATION and/or EXPERIENCE Bachelor’s degree in a related discipline or combination of education and experience.
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Cloud platform certification, e.g., AWS Certified Data Analytics – Specialty, Google Cloud Looker Business Analyst, or Microsoft Certified: Power BI Data Analyst Associate. Knowledge of data analysis tools and programming languages (e.g. Looker, Power BI, QuickSight, BigQuery, Azure Synapse, Python, R, or SQL.
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Design and implement cloud-based solutions using Microsoft Fabric technology stack and Microsoft SQL Server, including Azure Synapse Data Engineering, Azure Data Factory, Synapse Data Science, Synapse Data Warehouse, Synapse Real-Time Analytics, Onelake, and Power BI, with a focus on data migration, movement, and transformation.
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At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud) 4+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud.
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Experience with Cloud Services (AWS, Google Cloud, Microsoft Azure, etc). Advanced experience in SQL in big data warehouse systems such as Snowflake, BigQuery, Databricks, etc.
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Experience in setting up virtual private clouds in public cloud infrastructure such as Amazon Web Services, Microsoft Azure, Alibaba Cloud, or Google Cloud Platform. Experience with designing and engineering connectivity to public cloud providers utilizing technologies such as AWS Direct Connect, Azure ExpressRoute, Google Dedicated Interconnect, or Oracle FastConnect.
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At least 4 years of experience with Cloud Native technologies (Amazon Web Services, Microsoft Azure, Google Cloud Platform) Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment.
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Knowledge of cloud & computing technologies such as: Hadoop, Apache Spark, AWS, Microsoft Azure or Google cloud. Understanding of data models, large datasets, business/technical requirements, BI tools, statistical programming languages and librariesDemonstrates functional knowledge of data visualization libraries such as matplotlib or ggplot2; knowledge of other visualization tools such as Microsoft Power BI , Quick Sight or Tableau.
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Designing, architecting, implementing, and managing cloud infrastructure on leading Cloud platforms Google Cloud Platform, AWS and Azure; Working on cloud platform and solutions in infrastructure, Applications or Data technologies (GCP, AWS & Azure.
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