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Azure - PaaS, networking, FrontDoor, databases and storage , hybrid infrastructure with on prem and cloud, migration of applications to cloud Azure Container application hosting and management Active Directory, Group Policies, DFS, Windows Server infrastructure Strong scripting skills with PowerShell, Azure CLI and Yaml Hands-on experience with DevOps tools, such as Azure DevOps, Github and Ansible Nutanix AHV Hypervisor or other Hypervisors ServiceNow #remote #BI-Remote #Corptax #LI-DNI.
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Experience with DevOps automation platforms such as Jenkins, Artifactory, ACR, and/or Azure DevOps. Familiarity with APM monitoring tools such as Splunk APM, AppDynamics and/or Azure AppInsights.
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Azure DevOps/Confluence/JIRA, Docker, JIRA, Jenkins, Git or SubVersion apart from build tools and frameworks. Lead complex AWS-based Big Data and Fast Data architecture engagements working with Delivery teams and customers.
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Evaluates, mentors, and develops resources to elevate strategic partnerships (internal, external) across R&D, commercial, manufacturing, supply chain, regulatory, quality, finance, and product development, specifically in data, analytics, health analytics, IOT, artificial intelligence, and innovation.
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4+ years of hands-on experience with cloud data warehousing technologies (Snowflake is preferred, BigQuery, AWS, Azure, SAP BW). Experience with SAP ERP systems – OTC, Finance, Master Data is preferred Certification in relevant areas (e.g., Snowflake, AWS Certified Data Analytics, Google Cloud Professional Data Engineer) is preferred Strong dedication to code quality, automation and operational excellence using CI/CD pipelines and unit/integration tests.
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Provides strategic business technology thought leadership and insight-rich consultation related to business architecture, process optimization, data, analytics, IOT, artificial intelligence, innovation, and emerging trends.
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Experience in Data Pipeline and integration workflow management tools: Talend, Store Proc, Change Data Capture (CDC), Spark & Azure API's. Knowledge in Azure cloud technologies like Data Flow, Data Bricks, Azure Synapse, Azure Analysis Services and Power BI Analytics.
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Experience with both tradition RDBMS analytics developed through SQL and big data processing technologies (e.g., Apache Spark). Collaboration with the Analytics Engineering Director to work hand in hand with the Platform/Digital and DevOps team to specify platform requirements, tool enhancements, observability & monitoring, security/audit, and alerting on various data pipelines and jobs as needed for operation the Commercial Analytics Engineering organization.
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Strong understanding of data management disciplines including Data Warehousing, Data Integration, Data Visualization, Advanced Analytics, Big Data Platforms/Elastic Scale, Artificial Intelligence, and other data centric technologies.
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We implement modern backend solutions that support microservices architecture with the following technologies: NET Core, Node.js, Java, SQL Server, PostgreSQL, MongoDB, Redis, RabbitMQ. For the web UI front-end development, we opt for React, or Angular, and for mobile development — Swift, Kotlin, Java. Most of the systems are designed for cloud infrastructures like AWS, Azure, GCP, and heavily rely on Docker, Kubernetes while modern CI/CD is made using GitLab CI or TeamCity.
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Demonstrated experience in cancer genomics and omics data analyses, including experience with developing pipelines for next-generation sequencing data analysis and QC. + Utilizes state of the art bioinformatics methods, internal and external data to address translational questions related to indication selection, patient segmentation, and biomarker identification.
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Bachelor's or Master's Degree in Data Science, Computer Science, Computational Chemistry, or related relevant discipline typically with 5 to 10 (BS) or 2 to 5 (MS) years related industry experience.
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Create and maintain forecasting models utilizing business intelligence and forecast data gathered from business functions/teams at various levels, horizons/intervals to develop an accurate forecast.
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Responsibilities include master data management, alignment across systems, data load tie-outs and reconciliations, centralized reporting development and distribution, training, rolling forward templates for forecast and budget scenarios, and system security management.
$80,000 - $90,000 depends on experienceFull-timeRemoteExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Chicago is a big city with a lot of really fund things to do (museums, parks, restaurants, zoos, aquarium, shopping, concerts, volunteering, tours, etc.) The midwest is less stressed (in 2020, WalletHub released data on the most and least stressed states with the midwest leading as the least stressed.
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big data artificial intelligence azure devops jobs Title: developer in Vernon Hills, IL
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