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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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Demonstrated knowledge of big data (e.g., Snowflake) and data processing (e.g., Databricks) integrations with Cloud platforms. Implement and manage cloud security measures to protect sensitive data and ensure compliance with relevant regulations and standards.
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Utilize and develop queries and reports from the HRIS system (PeopleSoft), CAVE, and Cognos using appropriate data science and business intelligence tools (Python, R, SQL, Tableau, Microsoft Office,); and analyze data using descriptive (e.g., means, percentages) and inferential statistics (e.g., ANOVA, t-test, regression modeling techniques.
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Data Management Analysts (Data Management, Data Governance, Data Quality, Test Data Management, Data Architecture, Data Security, Programming (SQL, JAVA, Python, R), Data Analysis Software (e.g., Excel, SAS, SPSS), Knowledge of Database Query Language (e.g., SQL), Report Creation and Data Visualization (Tableau and R Studio), Understanding of Statistical Methods and Techniques to Analyze Data.
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Experience in "Big 4" or equivalent established consulting firm and/or Microsoft Gold partner highly desired. Hands-on experience with D365 Customer Experience / Dynamics CRM / PowerApps / Power Automate technical solutions.
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Prior industry experience with forensic DNA profiling tools including: GeneMapper ID-X STRmix model maker Interpretation of complex STR profiles Stutter thresholds and calculator aids CE instrumentation and data.
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Support quarterly CECL process, managing data improvement and validation, and assisting CECL reserve determination preparation. Advanced research, data mining/querying, analysis, and reporting skills, including proficiency in sophisticated statistical methods and modeling, forecasting, and cost/benefit/risk analysis.
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Extensive expertise with Apache NiFi Java Java Spring Boot microservices AWS (Redshift Athena) and big data technologies. Provide technical expertise in Java programming Spring Boot microservices and big data technologies in an AWS cloud environment (Redshift Athena etc.
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Patterns include data fabric and data mesh, and technology examples include DataBricks, Snowflake and RedHat OpenShift. The Solution Architect is an innovative technologist and problem-solver who will architect, design, and implement complex and often cutting-edge data and AI/ML solutions for a variety of environments and use cases.
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Utilizing Global Positioning System (GPS) technology, Geographic Information Systems (GIS), and other surveying software to process and manage survey data efficiently. Ensuring compliance with relevant surveying standards, regulations, and safety protocols during fieldwork and data processing.
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Experience leveraging Esri's software capabilities including mapping, field operations, spatial analysis and data science, 3D visualization and analytics, data management, and developer APIs.
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We are in search of a highly motivated candidate to join our talented Team. Job Title: Sr. Data Engineer Location(s): Mclean, VA Must have: 5+ years of experience with Python, SQL, Airflow, Spark, AWS (EMR, Lambda) Nice to have: Scala, Snowflake The candidate will be collaborating with other engineers and following the Agile Methodology.
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Integration with a common Enterprise Risk Management (ERM) data platform to enable effective ERM data analytics and reporting. Adoption of FHFA comprehensive Regulatory Reporting modifications and resolution of outstanding data quality issues.
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Analyze continuous monitoring, configuration management, vulnerability management, asset management, software management and self-reported data to identify trends and anomalies cybersecurity performance and mitigation of risks.
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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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big data jobs Company: Fast Enterprises in Vienna, VA
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