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Experience with at least one of the following cloud platforms: Microsoft Azure (Preferred), Amazon Web Services (AWS), or Google Cloud Platform (GCP) In this capacity, the Data Engineer designs and develops systems for the maintenance of the business's data warehouse, ETL processes, and business intelligence.
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Expert knowledge of Azure and Microsoft technologies, including Azure CLI, PowerShell, Cloud Security, and Azure Management Tools. Seeks an experienced DevOps engineer to drive the implementation of a highly resilient and scalable Azure environment.
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Search terms: Remote Software Engineer Software Developer Software Reliability Engineer Programmer Computer Programmer Computer Science Computer Engineering Computer Programming C# Agile Automated Testing Continuous Integration Continuous Delivery Cloud Azure Kubernetes.
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Any certifications such as Microsoft Certified: Azure Administrator Associate (AZ-103, AZ-104, Information Technology Infrastructure Library (ITIL) Foundation, Microsoft Certified Professional (MCP), CompTIA Security+/Network+ is a plus.
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Deploys and configures services using infrastructure as a service provider (AWS, Microsoft Azure, Google Compute Engine, RackSpace/OpenStack). Keywords: containerization, docker, jenkins, ansible, powershell, hardware, AWS, lambda, integration, ELK, integration, integrator, active secret clearance, devops, devops engineer, kubernetes, container, RHELM, linux, puppet, chef.
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Have experience developing containerized applications and deploying it to Kubernetes on cloud infrastructure vendors like AWS, Azure, GCP. We work with NodeJS, React, Postgres/MongoDB databases, and our services run on both AWS and Azure.
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1+ years of experience with AWS, GCP, Microsoft Azure, or another cloud service. As a Capital One Software Engineer, youll have the opportunity to be on the forefront of driving a major transformation within Capital One.
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Uses coding skills to enable multiple sources to move data through Snowflake, MDM, RDS, and other cloud data environments using tools such as Spark, Striim, Kafka, Snowpipe, Azure Data factory, AWS Glue, Matillion, FiveTran and more.
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Familiarity with modern cloud platforms (e.g., AWS, GCP, Azure) and their data engineering services. "As a Senior Data Engineer at WorkWave, your role will be pivotal in supporting our AI/ML initiatives by assisting in the creation and optimization of the data architecture that powers our advanced analytics.
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Familiarity with IAM tools and platforms, such as Azure AD, Okta, or Ping Identity. Experience with Microsoft 365 and SharePoint. This position will help safeguard our systems and data through effective identity and access management practices.
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Must have a current Microsoft Azure certification, at least at the Associate level. Lead, design, develop, and deploy an engaging AI chatbot application using Azure Bot Service (or other solutions), Cognitive Services (Language Understanding (LUIS) etc.
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Experience with the following tools and technologies is preferred but not required: Azure Cloud Terraform Ansible Azure DevOps SonarQube BurpSuite Git Docker. Experience with version control systems and work management systems such as Azure DevOps or other tools preferred.
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Experience in cloud computing and cloud Technologies (AWS, GCP, Azure). We currently have an exciting new position open for a Senior Data Engineer. This person will assist in driving technology innovation for engineering projects and work on architecture of AWS, Data Lake (Databricks/Elastic) and Kubernetes.
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Familiar with Microsoft Power Apps, Logic apps, SQL Server, ASP.Net, CSS, Liquid, Azure B2C authentication, Dynamics 365 on-premise and infrastructure setup. Minimum of 5 years' experience developing in Microsoft Dynamics 365 CE (CRM) and Dynamics Portals.
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Minimum 5 years of proven experience working with structured and unstructured data technologies to ingest, process, model, visualize and report on structured and un-structured data in rest and in motion using Hadoop, Kafka, Spark, Microsoft Azure and/or Amazon Web Services (AWS.
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microsoft azure jobs Title: lead data engineer Company: Capital One in Scranton, Anoka, Minnesota
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