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Responsibilities: •Set up infrastructure and architecture for DevOps tools such as Git, Jenkins, AppScan, Chef, Puppet, Ansible, Maven/Gradle, Docker, jfrog artifactory, bamboo, selenium, Cucumber, Nagios etc.
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Responsible for architecture vision and design of next generation data infrastructure required for autonomous driving technologies and future programs. Define new data infrastructure platform to capture vehicle data.
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GPI is a multi-discipline engineering firm providing planning, design, and construction services for transportation infrastructure and building system projects throughout the United States for over 50 years.
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Demonstrate advanced Infrastructure as code (IaC) techniques relevant to telco (automation scripting, terraform, etc.) The role of a Telco Field Engineer at Canonical. Your passion for open-source technologies will enable customers to understand and operate advanced infrastructure substrates to meet the demands of 5G and beyond.
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Participate across all phases of the solution lifecycle related to infrastructure and platform engineering starting with pre-sales solutions architecture support, resource identification, and implementation support with emphasis on the planning, analysis, testing, integration, documentation, and presentation of solution.
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7+ years of experience as a data engineer, with strong proficiency in Azure cloud services, Databricks, and Azure Data Factory 3+ years of experience with designing and implementing data solutions using Azure Cloud.
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Our DevOps team will work side-by-side with Data Engineering/ Application Development and Platform/Infrastructure teams to enable the continuous delivery of quality software systems at scale.
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We are proud to be home to leading technical experts in water, environment, infrastructure, resource management, energy, and international development. Facility types include power generating and distribution systems, commercial and industrial facilities, municipal buildings and infrastructure assets, and residential properties.
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Design, develop, and prototype cloud deployed services, APIs, and serverless applications using infrastructure as code (Terraform) to enable business capabilities in alignment with architecture direction and standards.
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Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc. Entech Staffing Solutions is seeking a Senior Data Engineer for a remote position based out of Detroit, MI.
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Optimize data workflows for performance, reliability, and cost-effectiveness on the Google Cloud Platform infrastructure. Data Engineer Google Cloud Platform. Real-Time data streaming platform like Apache Kafka, Google Cloud Platform Pub/Sub o Microservices architecture to deliver large-scale real-time data processing application.
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Experience working with Terraform to provision Infrastructure as Code. We’re seeking a Data Engineer who has experience building data products on a cloud analytics platform.
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Position Description: We are looking for an Entry Level Landscape Architect to join our Community Design Team to improve infrastructure in our Detroit office. Maintain a safe working environment Education: Bachelor's degree in Landscape Architecture required Skills/Experience: 0 - 5 years of related experience required About Wade Trim: Wade Trim is committed to maximizing the value of infrastructure investments.
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Job Title: Water Wastewater Engineer. Job Title: Water Wastewater Engineer. Provide technical planning, biological process and mechanical design, and construction support on various water and wastewater treatment and resource recovery projects.
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Engineering, Civil Engineering, Civil Engineer, Construction, Materials Testing, Geotechnical, Geotechnical Project Manager, PM, Geotechnical Engineer, Professional Engineer, PE License, Geotechnical Investigation, Geotechnical Drilling, Settlement Analysis, Concrete, Pavement, Earth Retention, Detroit, Ann Arbour, Flint, Monroe, Marysville, Algonac, Fenton, Windsor ON.
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infrastructure job Title: data engineer Company: Canonical in Detroit, MI
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