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Google Cloud Platform, AWS, Azure); Exhibiting proven knowledge of IT Service Management and how it is implemented across different operating models. Industry/SectorNot ApplicableSpecialismPlatform Engineering & ArchitectureManagement LevelSenior ManagerJob Description & SummaryA 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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Strong Networking Fundamentals along with Converged Infra (CI)/Hyper Converged Infa (HCI) Management Certification along with hands-on experience with Amazon Kubernetes Service (AKS), Amazon EKS, Google Kubernetes Engine (GKE), Rancher.
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Experience with Cloud using Amazon Web Services (AWS), Microsoft Azure, and/or Google Cloud Platform (GCP) Collaborating amongst team members across several geographies, our Cloud practitioners engineer cloud-based analytics solutions on AWS, Azure, Databricks, GCP, Snowflake, Oracle, Informatica Cloud and a combination of native cloud technologies, including computing at edge and curating data-in-motion.
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Define and document standards, best practices, and procedures (SOPs) for IaaS, PaaS, and SaaS (via IaC) on Google Cloud Platform that align with established tool stack and architecture standards.
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Experience with Teams, Zoom, JAMF, Google Drive, and Cloud Services. Additional desired technical skills: Cisco routing & switches, Fortinet security, Microsoft Azure, Cloud Services, Veracross SIS.
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What you’ll do:Utilize your knowledge of SQL, particularly with BigQuery and Google Cloud Platform, to manage and analyze large datasets relevant to People functions. Proven expertise in SQL and familiarity with cloud services, preferably Google Cloud Platform.
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Familiarity with working with data and databases (SQL, MySQL, PostgreSQL, Amazon Aurora, Redis, Amazon Redshift, Google BigQuery). 5+ years of hands-on experience in administering cloud technologies on AWS, especially with IAM, VPC, Lambda, EKS, EC2, S3, ECS, CloudFront, ALB, API Gateway, RDS, CodeBuild, SSM, Secret Manager, Lambda, API Gateway etc.
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Vital services partner to the worlds major cloud providers ServiceNow, AWS, Azure, Google, and others. We help our clients thrive in the cloud continuum, reimagine service and customer operations, and modernize work to achieve the full potential of the platform.
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Proficient in cloud computing technologies such as Amazon Web Services, Microsoft Azure, Google Cloud. Understanding of SAML such as: Active Directory Federation Services (ADFS), Google Workspace, Okta, and Shibboleth.
$58,240 - $93,600 a yearFull-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) for deploying and scaling AI systems. Experience in cloud-based Conversational AI and on-prem building experience is key for this role.
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Experience with cloud technologies such as Pivotal Cloud Foundry (PCF), Amazon Web Services, Microsoft Azure, or Google Cloud. Experience managing applications in a cloud environment (Azure, Google, Amazon Web Services.
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Strong experience in BigQuery and GCP technologiesHands on experience in building end to end data / orchestration pipelines using Python with products like Apache Beam (Cloud Dataflow), Apache Airflow (Cloud Composer)Cloud Experience- Should have experience with Google Cloud data products like BigQuery, DataFlow, Firestore, CloudSQL etc.
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Build and maintain manufacturing databases in Google Cloud Platform BigQuery. Experience with Google BigQuery SQL and database creation. Build and maintain manufacturing databases in Google Cloud Platform BigQuery.
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Relevant certifications such as AWS Certified Solutions Architect, Microsoft Certified: Azure Solutions Architect Expert, or Google Professional Cloud Architect needed. Proven experience in Application Transformation to cloud, designing and implementing cloud solutions (AWS (primary), Azure, Google Cloud), and architecture patterns.
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As a GCP Data Engineer with Tableau expertise, you'll be responsible for designing, implementing, and maintaining data pipelines and solutions on the Google Cloud Platform (GCP). Strong proficiency in GCP services like BigQuery, Dataflow, and Cloud Storage, coupled with expertise in Tableau for data visualization, are essential for success in this role.
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