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Implementation, maintenance, and documentation of backup and recovery systems within Azure, AWS, and OCI.Engages in and supports DevOps practices for infrastructure and security management.
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As a Data Engineering Technical Lead, you will be responsible for leading a team of data engineers in designing, building, and maintaining data pipelines and data processing systems using various technologies such as Azure, Spark SQL, SQL Server, Azure Data Factory, Azure Synapse, Azure Databricks, Dimensional Modeling, Agile, Azure DevOps, and DataOps. You will provide technical guidance, drive recommended practices, and ensure the successful delivery of data engineering projects.
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A minimum of 2 years of experience using Agile and continuous deployment in Azure DevOps. A minimum of 1 year of experience in developing integrations between D365 F&O and Dataverse. Experience with other SSIS, Azure Data Factory, Azure Logic Apps preferred.
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Knowledge and hands-on experience with as many of the following technologies as possible: C#, Power BI, PowerApps, Ansible, Python, Java, Azure, APIs, RESTful web services, databases, SQL, html, CSS, JavaScript, SAML, OAUTH , Visual Studio, Git, GitHub, Azure DevOps boards and pipelines, vendor/SaaS software management.
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Experience with the SDLC lifecycle & knowledge of relevant tools(Including but not limited to Azure DevOps, Jenkins, git, GitHub, Gitlab, Atlassian products). Hands on experience with Amazon Web Services, Google Cloud Platform, or Azure; namely choosing platform components and assembling application and runtime architecture.
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Experience with Agile software development practices, including SAFe, Scrum, Azure DevOps, Peer Review, GitHub, and CI/CD. This resource should have experience in Oracle HCM Cloud advanced tools such as OIC, HCM Extracts, Fast Formula, HDL, BI Publisher reports, OTBI reports, Redwood Page Composer, Page Configurator, REST APIs, SOAP, Webservices, Fast Formula, Oracle HCM Application Security.
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Responsible for data engineering functions including, but not limited to data extract, transformation, loading, integration in support of modern cloud computing platforms like Azure and Databricks.
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Experience with Agile and DevOps-Automation Anywhere certification is a big plusFUTURE RESPONSIBILITIES:-Identify opportunities for improvement in existing process and automate the process using Automation Anywhere RPA software.
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Experience: Design and implement end-to-end data solutions leveraging Azure services, including Azure Databricks, Azure Synapse, and Azure Data Factory. Build and automate data pipelines utilizing Azure Data Factory, Azure Databricks, and other relevant tools.
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Manager is looking for a mid-level to senior DevOps engineer with demonstrated experience working with Azure DevOps to build/deploy cloud services on Azure. Experience building Azure DevOps pipelines with YAML.
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Having experience with productizing machine learning models within a cloud service (e.g., AWS, Azure, GCP) and data science environments (e.g., Databricks) is a plus. Having experience with productizing machine learning models within a cloud service (e.g., AWS, Azure, GCP) and data science environments (e.g., Databricks) is a plus.
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Experience with cloud computing environments (AWS, Azure, or GCP) and Data/ML platforms (Databricks, Spark). Relevant certifications such as Microsoft Certified: Azure Data Scientist Associate or AWS Certified Machine Learning are advantageous.
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Familiarity with cloud architecture (Azure, Entra ID), shared responsibility models, data loss prevention (DLP), and cloud security best practices (DevSecOps, Secure SDLC, etc. Familiarity with cloud architecture (Azure, Entra ID), shared responsibility models, data loss prevention (DLP), and cloud security best practices (DevSecOps, Secure SDLC, etc.
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At least five on Microsoft ASP.NET platform, five years Team Foundation Server/Azure Devops/ two years Build Automation and two years Azure cloud, or two years developing and one year architecting in AWS Cloud.
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Roles that you might currently be in: Desktop support analyst, 1st line support, 2nd line support, Systems engineer, DevOps, Tech support, Technical support, Technical support analyst, IT support, IT desktop support, Systems Administrator, Network Administrator, Workplace technology, Solutions specialist, Solutions administrator, Systems manager, Support manager.
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azure devops jobs Company: Raytheon in Houston, TX
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