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Skilled in data visualization and use of graphical applications, including Microsoft Office (Power BI) and Tableau; major data science languages, such as R and Python; managing and merging of disparate data sources, preferably through R, Python, or SQL; statistical analysis; and data mining algorithms.
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2+ years experience with cloud computing (AWS, Microsoft Azure, Google Cloud) Today, the Capital One Software team is exploring how these internal solutions across cloud, data, governance, and applications could serve the needs of other companies born or built in the cloud.
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Capital One Software is a new enterprise B2B software business at Capital One focused on providing cloud and data management solutions for companies operating in the cloud and is Capital One's first foray into the enterprise software market comes after years spent building our own in-house cloud and data management tools to enable us to operate at scale in the cloud.
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Establishing the cloud and on-premise connectivity in different systems like ADLS, ADF, Synapse, Databricks Hands on experience in Azure cloud services like Azure Data Factory or Azure Synapse, MSSQL Db, Azure SQL DB, Azure Data Lake Storage Gen2, Blob Storage, Python etc.
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Basic to substantial experience in one or more of the following commercial/open-source data discovery/analysis platforms: RStudio, Spark, KNIME, RapidMiner, Alteryx, Dataiku, H2O, SAS Enterprise Miner (SAS EM) and/or SAS Visual Data Mining and Machine Learning, Microsoft AzureML, IBM Watson Studio or SPSS Modeler, Amazon SageMaker, Google Cloud ML, SAP Predictive Analytics.
$184,000 - $248,400 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Stewards, in partnership with the Office of Surface Mining Reclamation and Enforcement (OSMRE), seeks a Research Analyst to play an important role in assisting OSMRE’s Office for Equal Opportunity (OEO) to collect, analyze, and interpret data to determine primary Limited English Proficiency (LEP) populations located in areas where major coal mining industries are prevalent, in addition to other responsibilities.
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As a subcontractor we are providing services from: DevSecOps , software development, network administration, systems analysis, database administration, storage engineering, hardware engineering, Tier 1 – Tier 3 support in traditional data center environments (bare metal frames), cloud , and hybrid cloud.
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Amida is currently looking for a Data Engineer to join our team in Washington, DC. In this role you will work across our client engagements, providing expertise in machine learning algorithms, natural language processing (NLP), data collection, data analysis, data mapping, data profiling, data mining, data modeling, and data visualization.
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Resolve highly complex technical issues on Oracle Cloud and Exadata On-Prem platforms, spanning across database footprint including Exadata architecture, Real Application Clusters, High Availability, Data Guard, Corruption, Backup and Recovery.
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Ensure alignment and partnership client internal stakeholders and vendors, establishing strong linkages with their service and product teams to support activities, covering on-premises and cloud technologies such as Azure Databricks, Azure PaaS services, Informatica Intelligent Cloud Services (IICS), Tibco Data Virtualization, Collibra, and Power BI.
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1+ year of experience in data engineering using open-source technology stack along with cloud computing (AWS, Microsoft Azure, Google Cloud) 1+ year Experience working with Cloud Data Warehouse solutions (i.e., Snowflake, Synapse, Redshift.
$72,000 - $185,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Should be skilled in data visualization and use of graphical applications, including Microsoft Office (Power BI) and Tableau; major data science languages, such as Rand Python; managing and merging of disparate data sources, preferably through R, Python, or SQL; statistical analysis; and data mining algorithms.
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Evaluate commercial and open-source techniques in Machine Learning, Data Mining, NLP, and Analytics. Master's degree in Computer Science, Statistics, or Mathematics required with emphasis on data mining, NLP, or machine learning.
$250Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Extensive experience or knowledge of cloud-based data platform technologies such as AWS, Microsoft Azure or Google Cloud Computing. Intimately familiar with data technologies, data architecture frameworks, cloud platforms and the emerging trends in technological advancements.
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The Leonardo DRS Naval Electronics business provides leading naval computing infrastructure, network and data distribution and middleware enterprise services, as well as world-class manufacturing and support capabilities.
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