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As a C-UAS All Source Analyst, you will conduct data analysis of specialized C-UAS threat systems’ data to assist with Department of Defense (DoD) Force Protection (FP) efforts to understand, minimize and mitigate the threat posed by Unmanned Aerial Systems (UAS) against critical infrastructure, locations, assets and personnel.
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Knowledge of cloud computing technologies such as Apache Spark, Azure Data Factory, Azure DevOps, Azure ML, Hadoop, Microsoft Azure, Databricks, AWS, and Google Cloud. Advanced knowledge of data visualization libraries such as matplotlib or ggplot2 and other tools like Microsoft Power BI and Tableau.
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SAIC's National Intelligence Community (NIC) Business Unit, USG Mission and Information Technology Division, provides solutions and services supporting digital modernization programs in areas such as systems engineering, multi-cloud computing, cybersecurity, data science and analytics, artificial intelligence and machine learning, quantum computing, application development, DevSecOps, cloud network operations, and secure communications.
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Hands on Data Engineering experience as Data Analyst, Data Engineer or Tester. Significant agile project management experience, as well as strong fundamentals in advanced analytics, data integration, and visualization leading agile projects.
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Demonstrated experience leading complex Digital and Data Transformation services sales processes with multiple team members and decision makers (C-suite level - accounting and finance executives including CFO, CIO, CTO, CDO, VP of Finance, Head of FP&A.
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Expert understanding of the electrical and mechanical systems used in a facility and data center environment, including, but not limited to the following: electrical distribution and layout, Transformers, PLC's, Generators, Switchgear, UPS systems, STS', ATS' PDU's, Chilled Water Systems, CRAC/CRAH's, Pre-Action Sprinkler Systems.
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Big Data Technologies: Spark, Elasticsearch, Hadoop, Neo4j Geo-related mapping experience Who we are: Reinventing Geospatial, Inc. (RGi) is a fast-paced small business that has the environment and culture of a start-up, with the stability and benefits of a well-established firm.
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Experience reviewing, drafting and negotiating privacy and data protection contract terms and agreements, data processing, usage, and/or transfer agreements. Experience addressing complex matters encompassing U.S. and European data privacy and cybersecurity regulations.
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Geospatial tools, Big Data and Graph Products (Hadoop, MapReduce, Spark, ElasticSearch, Neo4j), Linux, OpenStack, AWS, Ansible, SQL/NoSQL, Text Processing, Cloud Services, Containerization, Infrastructure as Code (IAC), and more.
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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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Experience providing training planning, development, and delivery; technical assistance; tracking and reporting data using a database; data entry troubleshooting, data integrity and data quality maintenance; documentation of system configuration; experience supporting users groups responsible for governance of an application; system administration support; SharePoint site configuration and management; Nintex workflow development and maintenance; Microsoft Power Apps experience.
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Significant experience building Data Lakes (Azure Data Lake or similar), ETL/ELT pipelines (Databricks or similar), Data Warehouses (Azure Synapse Analytics or similar), and data streaming (Azure Event Hub, Kafka, Cosmos, MongoDB, or similar.
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Experience with automated data pipelines for batch ETL, data streaming, or change data capture. Experience unifying disparate sources of data through cloud data integration.
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Our client seeks a Machine Learning Engineer to provide data science and data engineering services, including developing data models, data ingestion/transformation, analytics, and machine learning.
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Use of available tools such as PowerBI, PowerApps, Excel, Splunk, ServiceNow and/or new enterprise software solutions for data aggregation · Familiarity with API's Rest SOAP integrations, creating central data source(s) by correlating data from various sources & creating Dashboards and other consolidated views to provide CIT with more mature tools to monitor overall organizational cyber hygiene.
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data job Company: Drift Services in Chantilly, VA
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