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Big Data Technologies: Proficient with big data technologies such as Databricks, Hadoop, Spark, and Kafka. Leverage big data technologies to efficiently process and analyze large datasets, particularly those encountered in a federal agency.
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Blackstone Talent Group, an award-winning technology consulting and talent agency is seeking a Virtual System Engineer 3 to join our Client's team. Strong engineering experience with the following core platforms and services:VMware ESXi and vSphereMicrosoft Windows Server and Deployment and AdministrationMicrosoft Windows 10 Deployment and Administration DNS, DFS, and DHCPActive Directory and defining, implementing, and maintaining Group Policy Microsoft SCCM with Operating System Deployment (OSD)Data center networking fundamentals (experience with software defined data center networks a plus.
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As a big data engineer at Booz Allen, you'll implement data engineering activities on some of the most mission-driven projects in the industry. We need an experienced data engineer like you to help our clients find answers in their big data to impact important missions—from fraud detection to cancer research to national intelligence.
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Data Analytics and Digital Transformation SupportProvide technical advice related to the integration of hydropower data into programmatic business practicesAssist in scoping efforts for future data aggregation and visualizationProvide market research related to generation utility digital transformationDemonstrate big data and artificial intelligence tools for hydropower operational dataAssist in pilot project demonstrations for incorporating and using large data set analysisTask 3.
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A master’s degree in computer science, Data Science, Big Data, Applied Statistics, Bioinformatics, or a closely related computational field. Hands on experience with cloud services for data storage and processing, including but not limited to Databricks, Azure SQL Database, Google Cloud Spanner and BigQuery.
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Apply machine learning, econometrics/statistics, predictive modeling, return-on-investment analysis, simulation, and data visualization methods to support the development of health policy. Experience applying econometrics/statistics, predictive modeling, simulation, and data visualization methods to support the development of health policy.
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Proven experience with cloud-based data platforms (e.g., AWS, Azure, GCP), big data technologies, and data warehousing solutions. Hands-on experience with modern data technologies (e.g., Apache Kafka, Apache Spark, Snowflake, Databricks.
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We are GDIT. A global technology and professional services company that delivers consulting, technology and mission services to every major agency across the U.S. government, defense and intelligence community.
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About Analytica: Analytica is a leading consulting and information technology solutions provider to public sector organizations supporting health, civilian, and national security missions.
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Experience related to Electronic Security, Audiovisual, DAS and/or Data Network/Wi-Fi/Telephony is a big plus. (Healthcare, Commercial office, Hospitality, Science and Technology, Federal Projects, High rise Residential, Mission Critical)Autodesk REVIT experience.
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Graduate Big Data Analytics Natural Language Processing Machine Learning Data Mining Cybersecurity Cyber-Human Systems. The Department of Information Sciences and Technology (IST) has 44 full-time faculty members with research foci in cybersecurity, data mining and machine learning, natural language processing, human-centered computing, and computing and engineering education.
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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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Circle is a financial technology company at the epicenter of the emerging internet of money, where value can finally travel like other digital data — globally, nearly instantly and less expensively than legacy settlement systems.
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20+ years overall experience, spread across a combination of Defense, manufacturing industry, Consulting, Information & Technology services. Minimum of 10 years in core area - Defense ITAR/DFARS/FedRAMP experience with DoD or USAF or Defense Manufacturing Industry or Defense IT consulting.
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Be part of a group of engineers building data pipelines using big data technologies (Spark, Flink, Kafka, Snowflake, AWS Big Data Services, Snowflake, Redshift) on medium to large scale datasets.
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big data technology consulting jobs Company: Partnering Solutions in Arlington, VA
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