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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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Designing, architecting, implementing, and managing cloud infrastructure on leading Cloud platforms Google Cloud Platform, AWS and Azure; 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 and Cloud IAM.
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Leveraging experience in database management, migration, and transformation to cloud native DBs like Cloud SQL, Spanner, AWS Aurora, AWS RDS, etc. Working knowledge and skills in cloud container services (e.g. GKE, EKS, AKS), storage services (e.g. EBS), and database services (e.g. RDS); digital or infrastructure deployments that includes managing projects related to highly virtualized solutions, digital convergence, outsourcing or systems integrations, network engineering, and cybersecurity.
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Defining cloud operating model and managing cloud operations leveraging SRE; Working on cloud platform and solutions in infrastructure, Applications or Data technologies (GCP, AWS & Azure.
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Collaborate with the Google Cloud Startup sales teams to increase Google Cloud adoption within the North American region, support market-intelligence efforts for the business to aide in business prioritization, and advocate on behalf of customers within Google Cloud to ensure startup customer needs are prioritized.
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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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Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift, Snowflake, AWS. Collaborate with product managers, data analysts, and data scientists to deliver robust cloud-based data solutions that drive powerful analytical and decision support experiences to drive insight discovery and leadership decision making.
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The organization manages security assessments, security compliance, change management, and continuous monitoring responsibilities across 5 cloud service providers (Amazon Web Services, Google Cloud, Oracle Cloud, Microsoft Azure, and IBM Cloud) The position requires a healthy mix of technical and policy knowledge.
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Experience with infrastructure provisioning tools helping to create and manage a collection of related resources like Terraform, CloudFormation (AWS), Azure Resource Manager (ARM), Google Cloud Deployment Manager, etc.
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As a Machine Learning Engineer specializing in Google Cloud Platform (GCP), youll lead the charge in developing and deploying cutting-edge solutions that extract valuable insights and drive tangible business outcomes.
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Cloud Infrastructure Management: Oversee the deployment and management of cloud platforms such as Amazon Web Services (AWS), Oracle Cloud Infrastructure (OCI), Microsoft Azure, and Google Cloud Platform (GCP.
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GCP Cloud IAM Architect - Terraforms, Business processes (Google Cloud Infra, Google Native Devops & SRE) 2. A Google Cloud IAM (Identity and Access Management) Architect is responsible for designing, implementing, and managing the access control and security policies within Google Cloud Platform (GCP) environments.
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Experience in the Design and implementation of AI/ML models and solutions using Google Cloud Platform technologies, including but not limited to Vertex AI , BigQuery, AI Platform, TensorFlow Extended (TFX), Dataflow, and Compute Engine.
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We are in search of an adept cloud software engineer with a proven track record as a technical lead (product owner) for Pison Cloud on Google Cloud Platform (GCP). Proficiency with Kubernetes, Google Cloud Run (or similar), Google Cloud Functions (AWS Lambda or similar), and Docker are a must.
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Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and containerization (e.g., Docker, Kubernetes). Expertise in web development technologies such as HTML, CSS, JavaScript, and modern JavaScript frameworks (e.g., React, Angular, Vue.js.
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