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Knowledge of Software Development Platforms and ticketing systems such as Team Foundation Server, Azure DEVOPS, and Jira) GDIT has an opening for an IT Quality Analyst Sr. position supporting the Defense Threat Reduction Agency (DTRA) Defense Stockpile Management Systems (DSMS) in Fort Belvoir, VA.
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Working knowledge of MS Azure Suite - Azure ML Studio, Azure Data Factory, Power BI/Power Apps. Preferred) Master’s degree in Statistics, Operations Research, Applied Mathematics, Economics, Data Science, Business Analytics, Computer Science, Marketing Research.
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Experience working with cloud-based analytics platforms and tools (e.g. Microsoft Azure, Hadoop, Spark Ecosystems) to deploy and productionise ML solutions, is a plus. Familiar with development of machine learning / deep learning models using programming languages (e.g. Python, SQL, R, PySpark.
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Lead Enterprise Solution Design and Implementation - intersection of business and technology, with focus in: Cloud across platforms (AWS, Azure, Google), Mobility, Data Analytics & Insights (Machine Learning), and User-Centered Design.
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Advanced proficiency in developing cloud architecture, strategies, and designing and managing cloud and hybrid solutions that run in Microsoft Azure, including compute, network, storage, monitoring, and security.
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Dynatrace gives you the chance to work with the largest of the Cloud players like AWS, Azure, VMware, and Google Cloud allowing our customers to have the best 3rd Generation Monitoring in the world.
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Experience working within project management software/methodologies (MS Project, Azure DevOps, Confluence, Jira, OpenText, etc) / Agile, Waterfall, Scrum. Experience working within project management software/methodologies (MS Project, Azure DevOps, Confluence, Jira, OpenText, etc) / Agile, Waterfall, Scrum.
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Familiarity with at least one of these Cloud technologies: Snowflake, AWS, Google Cloud, Microsoft Azure. We’re the strategic payments partner for some of the best known fast-moving brands globally such as Wise, Hut Group, Sony Electronics, Homebase, Henkel, Klarna and many others.
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Familiarity with Microsoft Azure, Databricks, & ML. Newell Brands (NASDAQ: NWL) is a leading global consumer goods company with a strong portfolio of well-known brands, including Rubbermaid, Sharpie, Graco, Coleman, Rubbermaid Commercial Products, Yankee Candle, Paper Mate, FoodSaver, Dymo, EXPO, Elmer’s, Oster, NUK, Spontex and Campingaz.
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Experience training AI/ML models with AWS, Microsoft Azure, or Google Cloud Platform. Understanding of or interest in computational genomics and applications of AI to molecular biology. Development experience with PyTorch, Tensorflow, JAX, or similar.
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Analytics Data Engineers are innovative working with new cloud native and open source technologies such as the Azure and Google cloud data platforms. Hands-on experience with data tools and platforms such as Azure, SQL Server, SAP Business Objects, etc.
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This position is designed to support teaching of business analytics courses which may include one or more of the following topics: business statistics, predictive analytics, programming (Python), database (MS Access, SQL Server (SSMS), Visual Studio, project management, advanced data management (AWS, Azure, Hadoop), optimization, and decision processes.
$65,000 - $75,000ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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5 or more years of technical experience in design, develop, support and implement end-to-end data integration solution using Azure Data Factory (ADF) and SNOWPipe, Azure Synapse Analytics or SNOWFLAKE (required.
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Microsoft Active Directory / Microsoft Azure / Group Policy / O365 Groups. Power Platform Development: Engineer, develop, test, and deploy tailored solutions using the Microsoft Power Platform, encompassing a spectrum of tools such as Microsoft Power Apps, Microsoft Power Automate Cloud Flows, Microsoft Power Automate Desktop Flows, and Microsoft Power BI Reports.
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Experience with Cloud using Amazon Web Services (AWS), Microsoft Azure, and/or Google Cloud Platform (Google Cloud Platform) Experience with Cloud using Amazon Web Services (AWS), Microsoft Azure, and/or Google Cloud Platform (Google Cloud Platform.
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