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Data Analysis Visualization: Tableau Desktop, Looker Studio. Big Data Processing: Hive, HBase, Spark. Cloud: GCP ( BigQuery, GCE, GCS) AWS (EC2, S3, Lambda, EMR, Redshift, Athena) Data Analysis Visualization: Tableau Desktop, Looker Studio.
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OIS seeks an experienced Data Administrator III with expertise in CA/Broadcom Asset Portfolio Manager (APM) data administration. This role includes management and maintenance of database records and information such as: IT hardware, software licenses, financial data, ITAM related agreements and master data related to ODHS/OHA hardware and software assets.
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Experience with Google Cloud Platform technology stack: BigQuery, Data Flow, Data Fusion. Experience with Snowflake cloud data warehouse. Experience with SSIS, data integration and ETL/ELT procedures.
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Responsible for data engineering source code control using GitLab. Basic Qualifications:Experience with relational databases and knowledge of query tools and/or BI tools like Power BI or OBIEE and data analysis tools Experience with the Hadoop eco system, including HDFS, YARN, Hive, Pig, and batch-oriented and streaming distributed processing methods such as Spark, Kafka, or Storm Strong experience in automating ETL jobs via UNIX/LINUX shell scripts and CRON jobs.
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We are looking for a Data Center Construction Project Manager to support critical facility construction projects - Greenfield and Brownfield. Data Center Construction Project Manager - Core and Shell Expert - Ashburn, VA.
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General Superintendent – Data Center Construction – Ashburn, VA. This opportunity is with a leading general contractor of data center construction services. Experience working on Data Center Construction Projects with Budgets ranging from $5mm to $500MM.
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Data science, machine learning, optimization models, Master's degree in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch.
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As a CACI-SOAS C-UAS Signals Data 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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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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You will develop operational analytical products utilizing C-UAS system data through the exploitation and processing of the raw data and the other related C-UAS data sources that aids operational planners develop force protection efforts to detect, identify, monitor and track UAS activity.
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We do everything from data collection to UI/UX development and advanced deep learning, using a broad toolset including Python, C#, and ArcGIS. Our projects include cutting-edge R&D efforts, as well as large mission programs incorporating data processing/optimization, data dissemination techniques, visualization, and collaboration across the commercial and government sectors.
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Blackstone Talent Group, an award-winning technology consulting and talent agency is seeking a Data Scientist - Top Secret/SCI Clearance Required to join our team at our client’s site in Reston, VA.
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Strong professional network within the DoD and Federal Agency Chief Data Officer (CDO), Chief Technology Officer (CTO), and Chief Information Officer (CIO) community. Responsible for definition of Solution Offerings (e.g., Data Strategy, Data Operations, Data Science) for the practice in alignment with corporate strategy.
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We are hiring an Executive Director to lead a global team of ~80 professionals to deliver customer-facing data and analytics capabilities, advance existing infrastructure by adopting cloud-native solutions (e.g., Snowflake, Databricks, etc.
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Supporting the US Privacy Counsel, the Data Protection Officer (DPO) and the wider team when required on data protection-related programs, such as data privacy impact assessments, defining and managing RoPA entries (Records of Processing Activities), or processing data subject requests (DSRs.
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