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The Lead Data Engineer is responsible for orchestrating, deploying, maintaining and scaling cloud infrastructure targeting big data and platform data management (e.g., data warehouses, data lakes) including data access APIs. Prepares and manipulates data using Hadoop or equivalent.
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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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Utilize Databricks for big data processing and streaming analytics. In this role, the successful candidate will drive our efforts to support cloud initiatives for the National Oceanic and Atmospheric Administration (NOAA) and National Environmental Satellite, Data, and Information Service (NESDIS) with a focus on architecting and provisioning enterprise-level Cloud services, including Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS.
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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.
$248,400 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience using modern containerization software including Docker, OpenShift and Kubernetes Experience with Snowflake, Microsoft Power BI, Splunk, Securonix, and CywareProficiency with automation tools such as Ansible, Chef or Puppet Project Management experience Industry related certifications such as PMP, GSLC, GISF, GSEC, CISSP Experience with big data tools: Hadoop, Spark, Kafka, etc.
$195,400 a yearFull-timeRemoteExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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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.
$172,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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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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As a data engineer, you know that organizing big data can yield pivotal insights when it's gathered from disparate sources. Work with us to use big data for good. Experience with distributed data and computing tools, including Spark, Databricks, Hadoop, Hive, AWS EMR, or Kafka.
$172,000 a yearPart-timeExpandApply NowActive JobUpdated 13 days ago - UpvoteDownvoteShare Job
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In this role, you will be responsible for safeguarding information systems and data from security breaches and unauthorized access. We are a recognized leader in personnel security and vetting solutions, Agile, DevOps, DevSecOps , data analytics, and cloud solutions.
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At least 10 years of Experienced with all the tasks involved in administration of big data and Meta Data Hub such as Cloudera. The selected candidate will be responsible for orchestrating, deploying, maintaining and scaling cloud infrastructure targeting big data and platform data management (e.g., data warehouses, data lakes) including data access APIs. Prepares and manipulates data using Hadoop or equivalent.
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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. The Data Scientist is responsible for using advanced statistical, algorithmic, machine learning, data mining and visualization techniques to help advance and complete client projects.
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Assist and undertake development efforts necessary to ingest data into and deliver (both graphical and non-graphical) information from the CDE to satisfy project data centric execution objectives.
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Our client is looking for a Information Security Engineer to join their team. DESIRED QUALIFICATIONS/EXPERIENCE: Bachelor's degree in Information Technology or a related technical field with a minimum of two years of experience in a Cybersecurity role.
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Develop expertise on the Capital One threat landscape using internal data, threat trends, and operational metrics to clearly communicate the Capital One threat landscape to senior executives, to include the Chief Information Security Officer and Chief Information Officer.
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DC Water is seeking a contract or contract-to-hire IT professional to assist with Power BI and SQL Server reports execution, data validation and performance improvement. Requires a bachelor's degree in finance, Accounting, Business Management, or Information Technology (or related field) from an accredited college/university, and five (5) years of hands-on experience in Microsoft Power BI reports and SQL Server Database.
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big data information consulting jobs Company: Partnering Solutions in Mclean, VA
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