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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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Create, extract, transform, and load (ETL) pipelines using Hadoop and Apache Airflow for various production big data sources to fulfill intelligence data availability requirements.
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Previous experience performing research in Data Analytics or Big Data. A significant share of your data analytics experience in direct support of military or intelligence community customers, demonstrating progressive technical development and mission-focused outcomes.
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Minimum of 7 year’s of experience years of experience in Big Data/Hadoop, database and data warehouse architecture and delivery. You will have an opportunity to work in roles such as Cloud Data Engineer, Data Modeler or Data Architect covering all aspects of Data including Data Management, Data Governance and Data Migration.
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Proficiency with Power BI, data analysis, data query, data aggregation, data visualization, software development, system architecture, data transformation, data management, and big data technology.
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Knowledge of Apache Spark, Azure Data Factory, Azure DevOps, Azure ML (Machine Learning), Hadoop, Hive (Apache), Informatica, Microsoft Azure, Microsoft Databricks, Microsoft Power BI, Microsoft SharePoint, Microsoft SQL Server, MS Office Products Operation Data Integration (OLTP) and Python.
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Lead data center core and shell due diligence and design projects (including civil, structural, mechanical, electrical, plumbing, security, and fire protection for greenfield and add/move/change projects) from start to finish, ensuring budget/schedule adherence, satisfaction of design requirements, and repeatable quality.
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Our capabilities range from C5ISR, AI and Big Data, cyber operations and synthetic training environments to fleet sustainment, environmental remediation and the largest family of unmanned underwater vehicles in every class.
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Leverage big data technologies to efficiently process and analyze very large datasets, similar to those encountered in a federal agency. - Demonstrated experience working with very large datasets and leveraging big data technologies to process and analyze data efficiently.
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Familiarity with “big data” tooling (Hadoop, Spark, RedShift, HDFS) Our client, a leading provider of Artificial Intelligence Integration Services and innovative data platforms for government and defense clients, is recruiting a full-time Cyber Security Engineer.
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We use Agile and DevSecOps principles to provide services including application development, biometrics and identity management, cloud and infrastructure optimization, IT and legacy modernization, and data management.
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Proficient understanding of relational (e.g. Oracle, SQL Server, PostgreSQL) and Big Data distributed structures (Hadoop/Spark) in order to source data effectively. Presenting complex analysis results tailored to different audiences (e.g. technical, manager, executive) in a highly consumable and actionable form including the use of data visualizations.
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Big Data Technologies: Experience with big data technologies like Apache Spark or Apache Kafka. + AI/ML Application: Apply machine learning and artificial intelligence techniques to enhance data processing and analytics capabilities.
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Much of our work contributes to innovative research in the fields of sensor science, signal processing, data fusion, artificial intelligence (AI), machine learning (ML), and augmented reality (AR.
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The GPS AI & Data Engineering offering is responsible for developing advanced analytics products and applying data visualization and statistical programming tools to enterprise data in order to advance and enable the key mission outcomes for our clients.
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big data jobs Title: data manager Company: Accenture Contractor Jobs in Springfield, VA
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