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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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Design pattern, develop, devops, expert, lead, senior software engineer, software architect. Preferred skills: NLP, Text mining, Tableau, PowerBI, Databricks, Tensorflow. Knowledge of Statistics, Gen AI, LLM, Python, Computer Vision, data visualization tools.
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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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Experience with the SDLC lifecycle & knowledge of relevant tools(Including but not limited to Azure DevOps, Jenkins, git, GitHub, Gitlab, Atlassian products). Experience designing and leading engineering systems and DevOps, i.e. managing the process of building software.
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Work with DevOps engineers on CI/CD, and IaC (Continuous Integration, Continuous Delivery, and Infrastructure as Code) processes; read specifications and translate them into code and design documents; and perform code reviews and develop processes for improving code quality.
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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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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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Experience on DevOps tools chain like GitHub, Jenkins, SonarQube, blaze meter and Deployment Tools, Terraform and chef). Strong experience in CI tools Jenkins/Azure DevOps or equivalent, Jenkins shared library development is a must.
$150ExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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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. A minimum of three (3) years of Agile and DevOps experience with modern, automated deployment methods, such as Azure DevOps, Bicep, Terraform, etc.
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Strong understanding of DevOps best practice and Infrastructure as Code (IAC) principles and experience with tools such as AWS CloudFormation, Terraform, or similar. Experience with Modern day data warehouse platforms like Snowflake, Databricks.
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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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Experience with Azure DevOps pipelines/tools (e.g. ADO GIT, ADO pipelines, Boards, Build & Package tools) The Sr. Lead GenAI Cloud Security Engineer will drive the Cloud security and GenAI/LLM security architecture, provide leadership to mature the security engineering program, develop security tooling, mentor others and be hands-on partner to our software, SRE and QA Teams.
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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. IaC - Terraform, Azure Devops, Azure RM templates.
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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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devops job Company: Raytheon in Houston, Amarillo, Texas
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