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Your expertise in ETL, DataBricks, Python, Spark, Scala, JavaScript/JSON, SQL, and Jupiter Notebooks will be essential in ensuring efficient data processing and analysis. Job Responsibilities:- Design, develop, and implement end-to-end data pipelines, utilizing ETL processes and technologies such as DataBricks, Python, Spark, Scala, JavaScript/JSON, SQL, and Jupyter Notebooks.
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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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Deliver on projects in the areas of critical data, data management, data governance, dashboard monitoring, DQ dashboards, data controls, data lineage, and data mapping.
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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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Current PhD - 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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Advanced knowledge of cloud computing technologies such as: Apache Spark, Azure Data Factory, Azure DevOps, Azure ML (Machine Learning), Microsoft Azure, Databricks. Currently pursuing a graduate degree in Statistics, Mathematics, Economics, Data Science, Data & Analytics, Computer Science, or other STEM related degree.
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Experience combining digital cartography, computer technology, GIS, cartographic and geospatial production techniques, remote sensing, photogrammetry, and digital data formats. After the Contractor has made its review and assessment/s, NGA will perform a final approval assessment of the DNC/ENC/CPENC/LPC/DWC/TOD/SMENC/AML. Data conversion between different mapping file formats, including but not limited to VPF, S-57, S-101, ASCII.
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Proficiency in common geospatial software applications and data analysis scripting and tools, such as Python, SQL, Mathematics, Statistics, Business Analytics, Collections, Data Visualization, ESRI ArcGIS, Timeseries Modeling, MATLAB, R, Git, or Tableau.
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Knowledge of CMS claims data, including Medicare, Medicaid, and Marketplace, in the IDR or CCW environment with Fee-for-Service ( FFS ) , Medicare Advantage encounter data, Medicaid data in the Transformed Medicaid Statistical Information System ( T-MSIS ) , or Prescription Drug Event ( PDE ) data.
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Understand data lakehouse technologies like Iceberg, Databricks, Redshift Spectrum, Athena and Snowflake. CGI Federal is hiring a Data Engineer SME (Data Collection Engines) to work with a skilled and motivated team of professionals on a high-visibility Department of Homeland Security (DHS) Cybersecurity and Infrastructure Security Agency (CISA) cyber security program.
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Knowledge of digital cartography, image processing, geographical information systems (GIS), geospatial production techniques and NGA digital data formats. Extracting features from a variety of sources including but not necessarily limited to rasterized nautical charts, digital hydrographic survey data and ortho-rectified imagery.
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In addition to being a hands-on developer with experience in business intelligence, analytics, data science, and data products, the ideal candidate will have strong command of the principles of large-scale database development, data modeling, data mapping, data testing, data quality, and documentation preparation.
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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.
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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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Utilize Human Capital Management (HCM), people analytics, or enterprise and BI platforms to design, build, test and deploy reports, dashboards, data visualizations, and predictive models based on project requirements.
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data job Company: Marriott in Vienna, VA
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