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An HR Data Analyst may work on various projects related to talent acquisition, performance management, employee engagement, diversity and inclusion, compensation and benefits, learning and development, and more.
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Compile or update maritime features and attributes for the SFH DNC/ENC portfolio on ArcGIS based Data Capture and Finishing Environment (DCAFE) workstations or ESRI based Foundation GEOINT Modernization (FG MOD) production environment workstations.
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Much of our work contributes to innovative research in the fields of sensor science, signal processing, data fusion, artificial intelligence (AI), machine learning (ML), and augmented reality (AR.
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Demonstrate the ability to access, trace, analyze, and remediate data issues leveraging SQL and applicable AWS tools such as Athena and Redshift. Develop scripts to extract data in Athena, Timestream and Redshift.
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Experience in cloud environments with a blend of data science skills (remote sensing, physics, geospatial, imagery process, etc) and computer science understanding is a plus for this position. C-Star Solutions is searching for a data scientist to support research and development efforts at National Geospatial-Intelligence Agency (NGA.
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Current Master's - Data Science Internship - Summer 2025. If you're interested in a long-term career at Capital One, the Data Science internship could be a great way to begin your career journey.
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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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Knowledge of Apache Spark, Azure Data Factory, Azure DevOps, Azure ML (Machine Learning), Hadoop, Hive (Apache), Informatica, Microsoft Azure, Microsoft Databricks, Microsoft Power BI, Microsoft SharePoint, Microsoft SQL Server, MS Office Products Operation Data Integration (OLTP) and Python.
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Understand basics of Data Engineering work and contexts of the data product development, accordingly customize the approach/process/artifacts to meet the delivery need of the team. Basic understanding of the Data Engineering and how it adds value to the organization.
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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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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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Experience with distributed data and computing tools, including Spark, Databricks, Hadoop, Hive, AWS EMR, or Kafka. Experience with data warehousing using AWS Redshift, MySQL, or Snowflake.
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Preferably with Hadoop stack: HDFS, Hive, SQL, Spark, Spark Streaming, SparkSQL, HBase, Kafka, Sqoop, Atlas, Flink, Kafka, Cloudera Manager, Airflow,Impala, Hive, HBase, Tez, Hue, and a variety of source data connectors.
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Knowledge of digital cartography, image processing, geographical information systems (GIS), geospatial production techniques and NGA digital data formats. Support NGA in developing or reviewing TRD training materials, geospatial production workflows using ArcGIS Defense Solutions, and data quality assurance procedures, including the use of Geospatial Analysis Integrity Tool (GAIT), to evaluate co-produced data.
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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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data job Title: hadoop Company: At T in Fairfax, VA
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