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7+ years Shell scripting for process automation, preferably utilizing Ansible and/or Templating languages such as Cloud Formation (AWS), ARM (Azure), or Terraform. Certifications: CISSP, CISA, CRISC, CISM, Cloud (AWS or Azure.
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2+ years of working experience with Cloud platforms such as Azure, AWS and GCP. Experience is cloud Azure data platform technologies such as Data Lake, Azure data factory and Synapse is preferred.
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Knowledge of Microsoft software, including Windows Server, SQL Server, Exchange, SharePoint, and Azure ServicesKnowledge of virtualization technologies (either Hyper-V or VMWare)Solid understanding of cloud networking concepts and integration with on-premises infrastructureKnowledge of Server and SAN technologiesStrong understanding of TCP/IP networking, common network infrastructure components (e.g., firewalls, routers, switches, etc.
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Deep understanding of cloud computing, specifically IaaS and PaaS offerings from major providers such as AWS, Azure, and GCP. 5+ years for one or more of AWS, GCP, or Azure IaaS and PaaS architecture or engineering experience.
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Maintain and deploy critical infrastructure components through Infrastructure as Code (IaC) tooling across multiple environments Troubleshoot and monitor Azure cloud-based systems implementations for availability, performance, reliability, security, etc.
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Experience working in an Agile and hybrid development methodology utilizing Jira or Azure. Test Automation Engineer. Perform ripple effect analysis for requirements and design level changes using technical standards, principles, theories, concepts, and techniques as they relate to software testing.
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As a Senior Data Engineer on the MMA National IT Data and Analytics Team, we will count on you to develop and maintain scalable data pipelines, enhance data models, and provide subject matter expertise in data acquisition and consumption pipelines on Azure, Databricks and Confluent.
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Maintain documentation of functions in R&R database, Cherwell Ticketing System, and Azure DevOps. Maintain documentation of functions in R&R database, Cherwell Ticketing System, and Azure DevOps.
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Proficiency in understanding modern data architectures and concepts such as cloud services (AWS, Azure, GCP), real-time data distribution (Kafka, Dataflow), and modern data warehouse tools (Snowflake, Databricks.
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AWS Lex Bots, Azure Bots, Google Cloud DialogFlow or equivalent. 1+ years of hands-on experience on Bots, preferred, AWS Bots, Azure Bots or equivalent and Conversation Design. Makes sound design/coding decisions keeping customer experience in the forefront.
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2 Years of hands on experience in Azure Dev Ops for Test Management and Defect Management. 5 years of hands on experience in building automation scripts using Selenium, Java, Appium, Cucumber, Ruby for UI Automation.
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Install, configure and administer SQL Server, Azure SQL Server, Snowflake and MongoDB databases. Understand and apply database administration, management, and performance tuning techniques specific to SQL Server, Azure technologies, Snowflake and MongoDB.
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The stack:AWS, Azure, Terraform, Helm, Kubernetes. Do you want to design, build, and operate large-scale, massively distributed, and maintain fault-tolerant critical infrastructure running in the cloud (AWS/Azure) throughout the development lifecycle.
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Solid understanding of Agile methodologies, particularly in an Azure DevOps environment. Utilize Azure DevOps to manage and track project requirements, user stories, and feature backlogs.
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Azure and/or AWS cloud experience required. Azure and/or AWS cloud experience required. Must be local to Twin Cities and willing to work Hybrid (in the office and remote) Length of Engagement: through December 31, 2023, with high likelihood of extension after that.
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ansible azure jobs in Long Lake, MN
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