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Multiple certifications such as AWS Solutions Architect Pro, AWS DevOps Engineer Pro, Microsoft Azure Solutions Architect Expert, Azure DevOps Engineer Expert, Terraform Associate, Etc.
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Develop on-premises and cloud platform-specific security policies, standards, and procedures for management group and account/subscription management and configuration (e.g. Azure Policy, Azure Security Center, AWS Config), access control, firewall management, auditing and monitoring, security incident and event management, user and administrator account management, access controls and password management.
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Leverage AWS cloud services like S3, Redshift, EMR, Glue, Lambda, and others in combination with Data Lakehouse platform/Apache Spark Integration for advanced data processing and analytics.
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Extensive experience or knowledge of cloud-based data platform technologies such as AWS, Microsoft Azure or Google Cloud Computing. Proven experience in transforming our clients from on-prem data platforms to the cloud.
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Experience with Agile software development practices, including SAFe, Scrum, Azure DevOps, Peer Review, GitHub, and CI/CD. Understanding leveraging Oracle SHDL and HDL capabilities to import data into Oracle Fusion Cloud via OIC.
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Experience with one or more Cloud platforms; Microsoft Azure, Amazon Web Service (AWS), Amazon Elastic Kubernetes (EKS), RedHat OpenShift platform as it relates to performance monitoring.
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Knowledge in cloud security (Azure, AWS, MS Office 365). + Participate on a team of highly skilled cybersecurity incident responders. Detailed knowledge of Endpoint Detection and Response tools (e.g., Crowdstrike Falcon, Carbon Black, FireEye HX or Windows Defender ATP.
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Advanced skills in Node.js, TypeScript, Apollo GraphQL, MongoDB, and front-end development with Angular, HTML5, CSS, SASS (5+ years of working/hands on experience on a development project.
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Expert level proficiency in cloud computing platforms and scripting languages, such as GCP, AWS, Azure, Terraform, DevOps, Git, Kubernetes. -AWS Certified Solutions Architect, specifically.
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Experience with cloud enviornment: AWS, Azure, or GCP (Terraform or other infra-as-code solutions preferred) Experience with AWS Kinesis, Azure Event Hub, or GCP PubSub.
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Validating and training AI machine learning models with annotated training sets in tuning accuracy of the AI models for CLM use cases;Demonstrating knowledge of machine learning and artificial intelligence workloads and considerations on Azure;Demonstrating knowledge of Azure Blob storage, Azure Service Bus and Azure Key Vault cryptography;Designing solutions for custom applications using the Microsoft.
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Containers and Serverless: Should have hands on in Docker and Kubernetes, API gateway, AWS/Azure functions and most managed services, AKS, ACI etc. A hands-on strong cloud architect to define, implement the serverless and container-based cloud application architecture using GCP PaaS component and services.
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Familiarity with one or more of the following technology areas is highly desirable: Cloud services, (AWS, Azure, etc.) Technical knowledge and hands on experience with security and networking architecture, network security design, routers, wireless security, intrusion prevention/detection, firewall architecture, SIEM, DLP, and encryption.
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Experience designing and building cloud platforms using public cloud provider services (AWS, GCP, Azure). Experience working in mixed DevOps environments focused on strategic development and operations.
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Data Management concepts and standards (SQL Server, Oracle, Cloud, Snowflake, Azure, etc.) - Expert, hands on experience in data modelling, Snowflake , data ingestion & visualization tools in depth.
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hands on aws cloud azure devops jobs Title: data architect in Tempe, AZ
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