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Containers and Orchestration: Manage Kubernetes for container orchestration, ensuring seamless deployment and scaling of applications through Azure DevOps Pipelines and Helm Charts. Continuous Integration/Continuous Deployment (CI/CD): Develop and manage CI/CD pipelines using Azure DevOps to automate build, test, and deployment processes, ensuring application delivery.
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Troubleshooting and Support: Provide support for troubleshooting infrastructure, deployment, and performance issues, implementing solutions for system stability. Strong proficiency in Azure DevOps, Azure services, Kubernetes, Python, Elasticsearch, and bash scripting.
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Infrastructure as Code (IaC): Design, implement, and maintain Infrastructure as Code using tools such as Terraform with specific modules. This includes Git, Git Flow, and Azure DevOps. Scripting and Automation: Utilize any preferred tools (Python, Bash, Ansible, PowerShell) to automate manual or routine tasks, improving efficiency and enhancing system reliability.
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Strong proficiency in Ansible, Terraform, and similar tools for automation and Infrastructure. As an equal-opportunity employer, we do not discriminate based on gender, sexuality, race, color, disability or any other legally protected status.
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Hands-on experience with Docker and Kubernetes for containerization. c#, devops, expert, matlab, perl, programming, senior. Understanding of data transformation practices including ETL, ELT, data modeling, data warehousing, and data lake.
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Proven experience as a DevOps Engineer with a minimum of 3 years in a similar role. Solid understanding of cloud computing principles and experience with Azure. Cloud Platforms: Manage cloud infrastructure on Azure, ensuring optimal performance, cost efficiency, and scalability.
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Monitoring and Logging: Understand and have basic knowledge of monitoring and management of Big Data, such as Elastic Stack (Metricbeat, Filebeat, Kibana, etc) and/or other solutions to ensure health and performance on our applications.
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Retirement Plan (401k, IRA) Azure Certification in DevOps Is a Plus. Demonstrated expertise and a minimum of 3 years of experience in a DevOps role. Documentation: Maintain clear and comprehensive documentation for infrastructure, processes, and configurations to facilitate knowledge sharing and onboarding with other teams.
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Strong documentation skills for maintaining clear and comprehensive records. Ability to troubleshoot and provide solutions in a fast-paced environment. Passion for solving operational technical challenges with scalable automated solutions to technical challenges.
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Automate data platform deployment and configuration using Terraform, ARM templates and Azure DevOps. Automate data platform deployment and configuration using Terraform, ARM templates, and Azure DevOps.
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Implement data processing pipelines using Azure Data Factory, Databricks, Azure Machine Learning, Azure Logic Apps, Azure Function Apps, Azure Kubernetes container and other big data services. Experience with data warehouse and big data technologies such as Azure Synapse Analytics, Azure Data Lake Storage, Spark, Kafka, Databricks, and Containers.
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Architect data analytics solutions on Azure using services like Synapse Analytics, Databricks and Machine Learning etc. Experience with ETL tools such as Azure Data Factory and Databricks. Experience with cloud infrastructure automation tools such as ARM templates, Terraform, Ansible, and PowerShell.
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Implement metadata management, data lineage, and auditing capabilities on Azure data platforms using Purview. Migrate on-premises databases and data warehouses to Azure services such as SQL Database, SQL Data Warehouse, etc.
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Security and Compliance: Collaborate on implementing and maintaining security best practices, ensuring compliance with industry standards and regulations. Familiarity with continuous integration tools and processes.
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We have an exciting opportunity for a Azure Cloud Architect to join our team. 10+ years of experience in cloud data architecture with a focus on Microsoft Azure. To provide Architecture Solution to Design and implement cloud data solutions on the Microsoft Azure platform.
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