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Certifications in public cloud (level of architect, security engineer/specialist) or Security Certifications in CISSP, CISM, CCSP or CCSK, CEH, CISA, Azure Security Engineer, Azure Solution Architect Expert, AWS Solution Architect Associate/Professional.
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Provide technical expertise and guidance on the selection, and hands-on implementation, and optimization of big data platforms, tools, and technologies across multiple cloud environments (e.g., AWS, Azure, GCP, Snowflake, etc.
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Hands-on experience on CICD and automation tools, such as Terraform, Jenkins, Github, Dynatrace, Prisma Cloud etc. 5+ years experience in cloud environment AWS, extensive knowledges and experiences in S3, Lambda, CloudWatch, VPC, Data Backup, AWS Backup.
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Hands-on experience with AWS cloud services, including Databricks/Spark, Terraform, Docker containers, ECS, CloudFront, DynamoDB, S3, and Kinesis. Utilize AWS cloud services, including S3, Databricks/Spark, CloudFront, DynamoDB, ECS, Kinesis, to build scalable and resilient solutions.
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Hands on experience with modern cloud data warehouse and engineering for one or more of the following cloud providers - GCP (Big Query, Vertex, Cognitive Services), Snowflake, Azure (Synapse, Dynamo, Cosmos, Azure ML, Power BI), AWS (Redshift, Sage maker), Tableau;Possessing a certification(s) in one of the following is a big plus – GCP/AWS/Azure/ data or ML engineering.
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Configure/Setup Different DevOps tools for AEM build test & deploy stages on different server Linux/windows OS running on AWS/Azure/Adobe AMS cloud environments. Experience in CDN & Dispatcher setup and configuration which includes caching AEM on premises, AMS & AEM as cloud.
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This role requires a deep understanding of IaC code automation, infrastructure, advance level Linux Troubleshooting skills, Kubernetes hands on experience, networking, AWS and Azure cloud services, development skills on automation with shell & python.
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Extensive hands-on experience implementing serverless real-time/near real-time architecture using Cloud native services (i.e., Azure, AWS or GCP Tech Stack), and Spark technologies (e.g., Spark Streaming, Spark ML.
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Skill Set: Azure or AWS Cloud platform, AI/ML & MLOps, Java, Spring, Microservices, Bigdata, Streaming, Security, Application tiers & Network tiers, Azure Architect, Synapse, AI/ML, MLOps.
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Compétences approfondies d’architecture cloud AWS, Dynatrace, IaaS, PaaS, serverless, et si possible on-prem. -> Nice to Have: AWS Developer Associate, AWS Solution Architect Professional, AWS DevOps Professional.
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The ideal candidate has at least a few years of experience in full stack engineering in an AWS cloud environment, with hands-on experience end-to-end. Collaborate directly with product management, marketing, design, data science, and data engineering on building out new product features.
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Expert knowledge of Cloud DevOps Tech Stack and hands on experience on continuous integration, infrastructure as code and configuration management. Configure and manage AWS cloud infrastructure as code using Terraform, AWS CloudFormation, or similar tools to enable scalable and repeatable deployments.
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Strong hands-on experience working with various AWS services including but not limited to IAM, EC2, S3, ELB/ALB, RDS/Aurora, ElastiCache, MKS, MQ etc. Strong hands-on experience on AWS and/or Azure environments.
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Proven experience as a cloud specialist, with a focus on Azure, AWS and/or GCP cloud services. En travaillant avec les clients et les équipes internes, vous contribuerez au développement et à la fourniture de solutions cloud natives, en tirant parti de votre expertise en GCP, AWS, Azure, IaC, Terraform, scripting, codage, DevOps, pipeline CI/CD, Kubernetes, OpenShift et autres technologies cloud.
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3+ years experience in architecting cloud-based solutions on Azure or AWS or GCP. Hands on experience in Microservices Architecture. Overall 15 year of experience in Software Development/ Application Development with hands on experience in.
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hands on aws cloud jobs Title: big data Company: Accenture in Raleigh, West Virginia
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