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Design, configure, and manage Data Warehouse Database Systems on Cloud (AWS Redshift, EMR HBase and Snowflake). You will be part of a team that is supporting cloud Data Warehouse and Data Lake environments implemented on AWS or Azure for some of Epsilon's most prominent Database Marketing clients.
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As a member of the Falcon Horizon control plane group, you will part of a fast-paced team taking on cloud-scale challenges and raising the bar on Cloud Security Posture Management.
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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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Hands-on experience with GCP AI services including Vertex AI, BigQuery Client, Cloud AutoML, and TensorFlow. Design and implement scalable and secure AI architectures on GCP, leveraging a combination of cloud services and best practices.
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We are faced with a lot of different challenges on our path to being cloud-based and are looking for new colleagues who will join us in boosting the successful introduction of advanced digital solutions at Hapag-Lloyd.
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Design, build, deploy machine learning models and microservices on the Google Cloud Platform. 2 + years of experience with developing microservices and implementing CI/CD pipelines via cloud computing services like (Google Cloud Platform preferred), AWS, Azure or similar.
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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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We are looking for a Machine Learning Engineer/Solution Architect with experience in deploying Machine Learning (ML), Deep Learning (DL) models on-prem and in the cloud. Experience working with DevOps on-prem or in cloud environments, including but not limited to Docker/Containers, Kubernetes, cloud APIs, IaaS and Data Center deployments; additional experience with DPUs applications development will be beneficial.
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Position Title: Cloud Engineer - Infrastructure (on W2) 5 years of experience with implementing and maintaining public, private and hybrid virtualization, converged and hyperconverged compute and storage platforms as well as IaaS and PaaS cloud solutions, troubleshooting problems, with an emphasis on technical problem solving.
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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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Experience in setting up virtual private clouds in public cloud infrastructure such as Amazon Web Services, Microsoft Azure, Alibaba Cloud, or Google Cloud Platform. across a global distributed network hands-on experience with the datacenter fabric platforms (Cisco, Arista, or equivalent) hands-on experience with common routing and switching platforms (Cisco, Juniper, HP/Aruba etc.
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The US Cloud Engineering Offering focuses on enabling our client's journey in Cloud adoption, with opportunities in the areas of Cloud Strategy and Operations Transformation, Cloud Native Development & Integration, Cloud Migration, Cloud Infrastructure and Cloud Managed Services.
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Familiarity with REST APIs and Cloud architectures (Google Cloud Platform) Stay updated on the latest advancements in machine learning and AI technologies. Familiarity with Front-end web development technologies (React, Vue.js, Angular, etc.
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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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Enterprise Networking knowledge and experience (Cisco/Juniper)Prior experience working for a system integrator or consulting organizationExperience migrating an on-premise to on-premise environments or on-premise to any cloud environmentBasic knowledge of automation tools (Puppet, Ansible, Terraform, etc)Basic knowledge of container orchestration technologies (Docker, Kubernetes, etc.
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