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Using tools such as Snowflake and/or Databricks, they will also work with cutting-edge DevOps technologies, develop advanced analytics products, and apply data and statistical programming tools to enterprise data to advance and enable key mission outcomes within cloud environments (Google Cloud Platform, AWS, Azure.
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AWS big data technologies: S3, Glue, EMR, Kinesis, RDS, Redshift, Athena. Title: Data Engineer II. Creating and driving large scale big data analytics pipelines. Integration of data from multiple data sources.
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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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The Data Engineer will be responsible for guiding the design, development, of our Data with a specific focus on Azure Data Factory, ADLS pipelines, AWS Glue, AWS pipelines to support Pega Marketing systems capabilities and on integrating data from Teradata, other external source, and applications into high performing operational Hubs, Data Lake and Microsoft SQL Server.
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Experience with big data analytics, machine learning, artificial intelligence, or anomaly detection. Experience with DevSecOps, CI/CD, IaC and CaC, IT Infrastructure Library, and IT Service Management.
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We are seeking an experienced Data Scientist/Data Analytics candidate to become part of Peraton's Department of State (DoS) Diplomatic Security Cyber Mission (DSCM) program providing leading cyber and technology security experience to enable innovative, effective and secure business processes.
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Performs digital media analysis and malware reverse engineering on host, server, and network data as required to analyze and respond to an incident, including but not limited to volatile and non-volatile memory and/or system artifact collection and analysis.
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We are seeking a dynamic and innovative Corporate Counsel, Data Management to oversee enterprise-wide data management programs and help ensure compliance with a broad variety of data management and security commitments.
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Performs digital media analysis and malware reverse engineering on host, server, and network data as required to analyze and respond to an incident, to include but not limited to volatile and non-volatile memory and/or system artifact collection and analysis.
$235,310 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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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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Leverage a broad stack of technologies — Python, AWS, Pyspark, Nvidia Rapids / Merlin / Triton, and more — to reveal the insights hidden within huge volumes of numeric and textual data. As a Data Scientist at Capital One, you’ll be part of a team that’s leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.
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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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Demonstrated quality service mindset; strong technical aptitude, critical thinking skills and ability to navigate Microsoft Office applications (Excel, PowerPoint, Word, Outlook, Access, Power BI), Alteryx, Tableau, artificial intelligence (AI) and similar data analysis and visualization tools.
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Proficient in data modeling techniques and database architecture principles, particularly for MongoDB.Strong experience with Databricks for data analytics and pipeline development. Develop and optimize data pipelines and workflows using Databricks.
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Experience in Open-Source Intelligence (OSINT) collection and methodology, including commercially enabled data. Conduct multi-source in-depth research and analysis of intelligence data, including open-source information, classified sources, and human intelligence.
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data job Title: physical therapist in Vienna, VA
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