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Candidates must have experience with the following: (1) AWS SysOps Certification (2) Terraform (3) Azure DevOps (4) Docker (5) Kubernetes (6) Python (7) Cloud security experience. Certifications: AWS Solutions Architect Certification or DevOps Engineer Professional Certification.
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An expert developer using SQL and SQL-like query languages on Snowflake, Databricks and AWS Data capabilities. Experience with streaming of data - Kafka or Kinesis and exposure to the AWS environment.
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Hands on experience with AWS Cloud services like EC2, VPC, S3, IAM, CloudFormation and Lambda; relevant experience with AWS cloud security is highly preferred. Operating in and reviewing modern cloud technologies from providers such as AWS, Azure, and GCP.Write and contribute to project plans, author engineering level documentation, and develop detailed test plans.
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Extensive experience in infrastructure and cloud security, including best practices in cloud environments such as AWS, GCP, OCI, or Azure as it relates to securing CI/CD, infrastructure as code, code repos, Terraform, CloudFormation, etcOver ten years of IT experience, with substantial involvement in information security.
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Required Education High School diploma or GED.Preferred Certifications ACI, ASNT, AWS, ICC, NICET, NRCA, RCI, various State DOTs, WACEL, etc. Encourage participation in internal and external training programs and certification opportunities provided by organizations such as ACI, ASNT, AWS, ICC, NICET, NRCA, RCI, various State DOTs, WACEL, and others, as appropriate.
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3+ years of experience with Cloud based technologies – Databricks, S3, Azure Blob Storage, Notebooks, AWS EMR, Athena, Glue etc. 3+ years of experience with Cloud based technologies – Databricks, S3, Azure Blob Storage, Notebooks, AWS EMR, Athena, Glue etc.
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Hands-on experience with AWS, Azure, Snowflake, Databricks, Hadoop, Kafka, Spark, and MLflow. Hands-on experience with AWS, Azure, Snowflake, Databricks, Hadoop, Kafka, Spark, and MLflow. Drive the end-to-end vision, strategy, and execution for critical initiatives such as Databricks P3, Synapse Gen 2, and data governance with Purview.
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AI/ML workloadsPerformance benchmarking Hardware accelerators and specialized devices (GPU, HPU, HPC) Git development workflowKubespray, Kops, or Kubadm Preferred Qualification:Slurm, Volcano, MPI, PyTorch, TensorFlow or other schedulers and AI domain frameworksOn-premises data center networkingCloud development or architecture (AWS, GCP, Azure, etc.
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Knowledge of cloud computing platforms and services (e.g., AWS, Azure, Google Cloud) for IoT data management and analytics. Integrate IoT solutions with cloud platforms (e.g., AWS IoT, Azure IoT Hub) for data storage, processing, and analytics.
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Preferred languages are PowerShell, Python, and Bash. Experience with virtualization/VDI technologies Experience with large scale cloud platforms such as AWS, Azure, GCP, etc. Preferred languages are PowerShell, Python, and Bash. Experience with virtualization/VDI technologies Experience with large scale cloud platforms such as AWS, Azure, GCP, etc.
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Expertise with cloud computing platforms (e.g., AWS, GCP) Expertise with infrastructure management tools (e.g., Terraform, Puppet, Ansible) Proficient in scripting and programming languages (e.g. Python, Go.
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Certifications like AWS Solutions Architect and GCP Associate Cloud Engineer are a plus. Experience in Cloud-based platforms like AWS and GCP. Strong understanding of BTP components like API management (APIM), SAP Integration Suit, Conversational AI (CAI), Data Intelligence (SAP DI), and AWS storage services.
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AWS Cloud, Kubernetes, Docker, and other commonly used tools & techniques for building high performance distributed systems on the cloud. Experience & understanding of DevOps including building CI/CD pipelines using Docker, Jenkins/ Gitlab CI & KubernetesExcellent Troubleshooting & root cause analysis skillsSuperb ability to take high level direction, work through ambiguity and drive to execution in an iterative model.
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Manage architectural standards for the AWS cloud-based UT Data Hub and Integration Hub. Ensure data management processes meet compliance, quality, and efficiency standards. Knowledge of ETL (Extract, Transform, Load) processes and data integration tools (e.g., Informatica, AWS Glue.
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Proven experience and proficiency with below compute technologies and related activities: Technology solutions: Dell and HPE server Cisco UCS VMWare vCenter Products Nutanix HPE Storage (MSA, Nimble) Storage Cashing Technology (Nasuni, Talon, Pandora) Object Storage (EMC ECS, Azure, AWS) Archive product (Komprise, HubStore, Enterprise Vault) Backup Product (Veeam, Networker, DataDomain, Avamar, NetBackup, Commvault) Server sysadmin or similar role with in-depth hardware knowledge.
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aws job Title: devops Company: Pwc in Austin, TX
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