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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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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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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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Strong experience in CI tools Jenkins/Azure DevOps or equivalent, Jenkins shared library development is a must. Experience on DevOps tools chain like GitHub, Jenkins, SonarQube, blaze meter and Deployment Tools, Terraform and chef.
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A minimum of three (3) years of Agile and DevOps experience with modern, automated deployment methods, such as Azure DevOps, Bicep, Terraform, etc. Proficient in various Azure data solutions such as PowerBI, SQL Server, Data Warehouse, Data Lake, Spark, Synapse, Data Factory, etc.
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Experience with Git, Azure DevOps and Agile methodologies Strong customer engagement skills. Programming - JSON, Angular,.net core, C#, Python, VS Code Database - SQL, MS Azure Blob Storage, MS Synapse, OSI PI Historian Cloud IoT Azure IoT Hub, AWS IoT Core and related cloud services.
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Experience with CI/CD pipelines such as Jenkins, Azure DevOps, Bitbucket Pipelines, or GitHub Actions. Preparation of CI/CD pipelines using Azure DevOps and Bitbucket. The position drives Azure cloud adoption, process automation and software delivery automation by building and managing a DevOps pipeline that delivers significant business value and enables developers to become more efficient in delivering quality software to production in short development cycles.
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CICD - Azure Devops, Azure Purview, Azure functions, Logic apps, Azure Data Explorer, Azure Databricks, HDInsight, Data lake storage, azure stream analytics, Azure Repos.
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Experience with Azure DevOps pipelines/tools (e.g. ADO GIT, ADO pipelines, Boards, Build & Package tools) Hands-on experience architecting, automating, maintaining, and securing Cloud Computing Platforms (AWS/Azure.
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Certifications in cloud services (AWS, Azure, GCP) and Kubernetes (CKA, CKAD). Stay abreast of new technologies and best practices in DevOps, cloud computing, and containerization. Typically requires a bachelor's degree in computer science, Information Technology, or a related field, with a minimum of 7-10 years of experience in DevOps, cloud infrastructure.
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The Cloud Cyber Security Analyst (Data Protection/DevOps) is responsible for providing services in support of data protection controls as part of the data protection monitoring services component of Elevance Health’s various programs that operate both on premises and in various cloud platforms.
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Strong level of knowledge in Microsoft Azure Entra ID, Azure Resources and Technologies, Azure Security, Azure DevOps Infrastructure, Microsoft Office 365, Exchange On-Premises, Exchange Online, Microsoft Teams, Windows System Administration, Disaster Recovery and Business Continuity architecture and deployment, System performance monitoring tools, Effective project management techniques.
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Knowledge of DevOps practices, CI/CD pipelines, including tools like Azure DevOps or Git Actions. - Lead and mentor a team of MLOps Engineers to create a scalable MLOps and Analytics platform within a hybrid compute environment, including Kubernetes and Azure.
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