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Responsibilities: Lead the design and implementation of CI/CD pipelines on Azure DevOps, ensuring automated build, test, and deployment processes. Minimum of 5 years of experience in a DevOps role with a strong focus on Azure cloud services and Kubernetes.
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Hands-on experience with Microsoft Azure cloud services, including Azure Active Directory, virtual machines, and networking. Certifications: Relevant certifications (e.g., CCNA, CCNP, CompTIA Network+, Microsoft Certified: Azure Administrator, VMware Certified Professional, Nutanix Certified Professional, or equivalent) are a plus.
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Work on cloud technologies such as Microsoft Azure and Google GCP for keeping applications in service for customers. Experience in writing azure devops pipelines using yaml approach for production releases.
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Expertise in two or more data estate workloads like Microsoft's Data & AI Platform (Azure Synapse Analytics, Azure Databricks, CosmosDB, Azure SQL, HDInsight, etc.) Certifications with Azure Data Engineer, Azure AI Engineer or equivalent industry certifications.
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Deep knowledge of DevOps principles and practices, including CI/CD pipelines, automation tools ( Git, Maven, Jenkins, Azure DevOps ), and observability tools. Experience building and deploying cloud-native applications on major cloud platforms ( GCP, Azure.
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On-Prem/Azure Active Directory, SCCM, Intune Management, Operating System Troubleshooting, Application Support - Expert. Provide onsite/remote end user support on multiple computer platforms: Windows, Macintosh, UNIX, and mobile devices.
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Design pattern, develop, devops, maven, perl, php, programming, project architect, software architect. Hands-on experience and proven track record in areas relating to optics, optical coating or advanced semiconductor process technology development.
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Develop data and model pipelines with tools like Azure ML SDK, Azure Data Factory, Databricks, Spark, or related technologiesDevelop predictive models using machine learning and similar advanced tools to design, prototype, and build next-generation advanced analytics engines and services, which ultimately optimizes customer experience and increases business outcomes.
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Proficiency in Microsoft Office Suite (Excel, Word, Outlook, PowerPoint) and experience with project management software (Prolog, Procore, E-Builder, Bluebeam, Microsoft Project, or Primavera P6.
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The Beer Sales Representative works alongside distributor partners and local supplier distributor manager to ensure the successful sale, volume growth, distribution, brand presence and positioning of the supplier's portfolio, working within a set list of priority On premise and Off premise accounts throughout the assigned territory.
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Under the direction of the Maintenance Operations Director in conjunction with the Regional Vice President for Shea Properties, the Regional Service Manager is responsible for providing maintenance leadership for a portfolio of communities to advise on Maintenance issues, communicate Company standards, ensure the correct execution of maintenance service, and to support and develop the onsite service teams within the Region.
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Individual salaries dependent on location, experience and job related factors. Manual/Functional focused therapy hands-on. We are constantly looking for team members who share our passion and ready to join a team founded on inclusivity, ambition, and outstanding care.
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Data Processing - Strong understanding and hands-on knowledge of Tableau, PowerBI, WebMethods (middleware), Hadoop functions and ETL tools (Tableau Prep, Azure Data Factory) Our expertise in modifying materials at atomic levels and on an industrial scale enables customers to transform possibilities into reality.
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Deployment with various cloud service providers such as AWS, GCP and Microsoft Azure. Hands-on experience building data platform to scale the AI workflows. The base salary range is 148,000 USD - 276,000 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.
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Experience securing Hadoop stack with Sentry, Ranger, LDAP, Kerberos KDC Experience supporting CI/CD pipelines on Cloudera on Native cloud and Azure/AWS environments Demonstrated expert-level experience in delivering end-end deployment automation leveraging Puppet, Ansible, Terraform, Jenkins, Docker, Kubernetes or similar technologies.
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