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SQL, Tableau, Marketing, Marketing Analytics, Media, Media Mix, MMM, Media Mix Marketing, Dashboarding, Web, Web Analytics, Google Analytics, Adobe Analytics, Trend Analysis, Analytics, Insights, Statistics, Fintech, Insurance, CPG, Digital, B2C, Google Cloud.
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One or more cloud certification such as: AWS Certified Solutions Architect - Associate, Microsoft Certified: Azure Solutions Architect Expert, Certified Cloud Security Professional (CCSP) or Google Professional Cloud Security Engineer.
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Preferred experience with insurance (Claims domain)Preferred certifications - Scaled Agile (ARCH, ASE), Google Cloud (Professional)Preferred experience with Jira, Confluence, and LucidSpark.
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Four (4) years of work experience in building containers using Docker/CRI-O, managing container orchestration systems (Kubernetes) and hands-on experience with Platform-as-a-Service offerings of Kubernetes (OpenShift, Azure Kubernetes Service, or Google Kubernetes Engine.
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Expertise in cloud platforms such as AWS, Azure, or Google Cloud, including deployment and management of microservices. In-depth knowledge of Java frameworks such as Spring Boot, Spring Cloud, and related technologies.
ExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Hands-on experience in services Cloud dataflow, Cloud Pub-Sub, Big Query, Cloud Storage, Cloud Dataflow, Google Composer etc. Master Proficiency in at least one cloud platform (AWS / Azure / GCP ) and related data services.
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Creation and maintenance of infrastructure-as-code for cloud, on-prem, and hybrid environments using tools such as Terraform, CloudFormation, Azure Resource Manager, Helm, and Google Cloud Deployment Manager.
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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 working with cloud infrastructure, AWS, Azure, and/or Google Cloud Platform in particular. Database Query Engine (QA), Automation Infrastructure and Quality Engineering (AIQ), Cloud Platform & Deployment Engineering, Developer Productivity Engineering (DPE.
InternExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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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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Exposure to SAP, Google Cloud Services, Salesforce.com. Strong Excel and other data wrangling tool skills required. You will be joining a high performing team that works cross-functionally, including with the Commercial Data Architect, Commercial BI/Reporting Analyst, business partners in Commercial Excellence, Sales, Sales Strategy/Planning, and Commercial Marketing in the US and Canada and the IT Data Engineering and Analytics COE. They will be the subject matter expert for commercial data, including the end-to-end process from distributor/retailer to final analytics/insights.
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Google Cloud experience will be plus but not required. Experience working in the Continuous Integration environment using Jenkins, Ansible. Google Cloud experience will be plus but not required.
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Utilize programming languages like Java, Python, SQL, Node, Go, and Scala, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services.
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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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We sell the latest AI technologies from Nvidia, Supermicro, Dell, HP, Microsoft, Google, Cisco, Lenovo, Apple, VMWare, Adobe, APC, IBM, Nutanix, EMC, Pure Storage, Samsung, Intel, Eaton, and all the hottest AI and Green Data Center, Virtualization, Energy Conservation, Cloud, Storage, Security, Wireless, SD Wan, Video, Identification, solar, and battery technologies.
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