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The ideal candidate will have a strong background in big data analytics, data engineering, and cloud computing, with a focus on building and optimizing data lakes on AWS. The Cloud Big Data Expert plays a crucial role in designing, implementing, and managing advanced data solutions using both AWS and Data Lakehouse platforms.
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Graduate Big Data Analytics Natural Language Processing Machine Learning Data Mining Cybersecurity Cyber-Human Systems. The College stands out for its leading research in areas such as artificial intelligence, data analytics engineering, cybersecurity engineering, biomedical imaging and devices, community-based healthcare, autonomous systems, 5G/Next G communications, systems architectures, computational biomedicine, advanced materials and manufacturing, sustainable infrastructure, and more.
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Science News Magazine seeks a Multimedia Editor who is both a hands-on video producer and a capable leader to guide our video and multimedia journalism and support data visualization efforts across platforms.
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Additional knowledge and experience with adjacent capabilities in the areas of Enterprise IT; Cyber Operations, ITSM and Managed Services; Data Center, Cloud and Cloud Migration; Data Transport and Systems Integration; Application Development and Modernization; Big Data and Data Analytics is a plus.
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Understanding or hands on experience with Lex, Nuance Mix, Dialog Flow, AWS and Google Cloud, R, Power BI, Tableau, Alteryx; We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology.
$232,000 a yearFull-timeExpandApply NowActive JobUpdated 15 days ago - UpvoteDownvoteShare Job
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Proven experience as a Technical Lead with a focus on Databricks and big data technologies. This role requires a deep understanding of big data technologies, particularly Apache Spark, as well as expertise in data engineering and analytics.
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As a Capital One Director of Software Engineering, you'll work on everything from customer-facing web and mobile applications using cutting-edge open source frameworks, to highly-available RESTful microservices, to back-end Java based systems using the hottest techniques in Big Data. You'll bring solid experience in emerging and traditional technologies such as: node.
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Advising stakeholders on advanced data mining and technical matters, research, and applications. Proficient in one or more of the following software platforms: Python, IBM SPSS Modeler, Natural Language Processing, Large Language Models, Generative AI Applications, and/or User Activity Monitoring applications.
$168,700 a yearFull-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Presto, Hive, SparkSQL, Cassandra, or Solr, and other Big Data query and transformation experiences a plus. Understand our current data model and infrastructure, proactively identify gaps and areas for improvement, and prescribe architectural recommendations focusing on performance and accessibility.
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Hands on operational experience with vulnerability management scanning tools (e.g. Qualys, Rapid7, Tenable, CrowdStrike, Tanium, Defender) including the ability to deploy, configure, and run these tools.
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Data Engineering Expertise: 5+ years of hands-on experience in data engineering roles, with emphasis on data pipeline development, ETL processes, and data integration.
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Innovative Data Solutions (IDS) is a small business specializing in engineering and supporting mission critical IT infrastructure for the US Government Intelligence, Defense and Homeland Security communities.
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Experience with data science analytics capabilities, including creating big data SQL queries, scripting in Python, Pyspark, R, SAS, and cleaning unstructured datasets. As a Financial Intelligence Exploitation Analyst on our team, you will leverage your understanding of international money laundering, threat finance, sanctions evasion, corruption and kleptocracy, and other illicit finance typologies to guide our clients' investigations, analysis, enforcement efforts, or partnership engagements.
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As a valued colleague on our team, you will, under limited supervision, conduct theoretical and empirical research with public and proprietary data in all areas of mortgage finance business, including mortgage products and securities, borrower behavior, investment and hedging strategies, residential property valuation, macroeconomic models including housing prices and interest rate, financial valuation of finance assets and derivatives, economic capital, and stress testing.
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Hands-on experience with technology such as sensors and signal processing, machine vision and machine learning, and internet-of-things type technology. Familiarity with big data analytics and enterprise data management systems.
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big data hands on modeler jobs in Arlington, VA
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