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Experience with Microsoft Azure, Amazon Web Service (AWS) 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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Je designt, stabiliseert, optimaliseert en automatiseert hun landingszones, pijplijnen, infrastructure, CICD omgevingen op on-premise or hybride cloud (AWS, GCP of Azure) Je vaardigheden zijn sterk rond: Kubernetes (K8S), Terraform, Azure RM, AWS CloudFormation, Google CDM, Openshift, OpenStack, Chef, Puppet, Ansible, PowerShell, Bash, Python, Gitops (Maak je geen zorgen, je hoeft niet ALLE bovenstaande skills te hebben.
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Amazon Web Services (AWS) or Google Cloud Platform (GCP) administration experience. Certifications in cloud services, network management or cyber-security, such as CCNA, CISSP, Azure Fundamentals and VCP.
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You will also be responsible in building healthy DevOps platform with policies and procedures around implementing and supporting our global hybrid cloud container strategies using Kubernetes deployed in Google Cloud Platform (GCP) and Amazon Web Services (AWS.
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Any experience with always-on and high-volume web server stack, Azure/GCP PaaS and Azure/Google networking, provisioning native Managed Apps & CI/CD pipelines. 2+ years of experience configuring and managing cloud infrastructure (AWS, GCP, Azure.
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Develop a comprehensive migration strategy for our data infrastructure and workloads to GCP Handle complex migrations from legacy Teradata warehousing solutions or on-prem Hadoop/Hive to Big Query in GCP Implement Cloud based solutions based on various GCP services and technologies such as BigQuery, Dataflow, Dataproc, Bigtable, Dataform, Data fusion, cloud spanner, Cloud SQL, Cloud functions and Cloud scheduler.
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Stefanini is looking for Google Cloud Data Engineer, Location: Dearborn, MI (Hybrid) Google Cloud Data Engineer. GCP Infrastructure as Code Terraform Development Deployment through Tekton pipeline GitHub Python.
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Experience working with Google Cloud platform(GCP) – specifically Google Kubernetes engine, Terraform, and infrastructure. Experience with cloud services, preferably GCP Services like Vertex AI, Cloud Function, BigQuery etc.
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Expertise building and deploying applications with Amazon Web Services (AWS), Google Cloud Platform (GCP), Microsoft Azure or across multiple on-premises data centers. Professional-tier certification in AWS (Solutions Architect or DevOps Engineer), GCP (Cloud Architect or Cloud DevOps Engineer) or Microsoft Azure (DevOps Engineer Expert or Azure Solutions Architect Expert.
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Designing and developing large-scale data solutions using GCP services like DataProc, Dataflow, Cloud Bigtable, BigQuery, Cloud SQL, Pub/Sub, Cloud Data Fusion, Cloud Composer, Cloud Functions, Cloud storage, Compute Engine, Looker, Cloud IAM, etc.
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Strong foundation across Microsoft Azure, Google Cloud and/or Amazon AWS technology stack. Cloud architect certifications in Azure, GCP or AWS. Responsible for architecting, deploying, configuring, and maintaining security baselines within the Azure/ GCP and/or AWS cloud environment.
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Ford Credit is actively seeking an experienced, hands-on Principal Architect to spearhead our Cloud Native modernization on Google Cloud Platform (GCP). GCP Professional Cloud Architect or GCP Professional Machine Learning Engineer certification.
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Career level years of proven experience in leading test strategy Cloud products such as AWS, Google Cloud Platform (GCP), and Azure. You will also have the chance to work on different public cloud platforms (AWS, GCP, Azure) to automate cloud orchestration, visualization and alerting mechanisms.
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The Business Planning and Commercialization team owns Strategic Packaging and Pricing for all of Google Cloud, including Google Cloud Platform (GCP), Google Workspace, AI/ML, and industry-specific solutions.
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At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud) 2+ years of experience with AWS, GCP, Azure, or another cloud service. 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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