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Experience in Big Data ecosystem : ETL, tooling of Big Data Platform (Apache Spark, Airflow), Datalake, Synapse or Snowflake. - Design, develop, and implement software solutions that enhance the reliability and fault tolerance of our modern data and machine learning platforms.
$82,000 - $185,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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The Department of Homeland Security (DHS) is recruiting professionals to support a range of leadership roles in Data Science, including Data Science Manager, Data Engineer Team Lead, FISMA Support Metric Lead, Data Modeler, Data Security Officer and Operations Research Chief.
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Experience with working in cloud-based data science, database, big data processing, and reporting tools – preferably on Azure such as Azure ML, Power BI, Azure Data Explorer/KQL, Synapse, Databricks, etc.
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As a big data engineer at Booz Allen, you ll implement data engineering activities on some of the most mission-driven projects in the industry. We need an experienced data engineer like you to help our clients find answers in their big data to impact important missions from fraud detection to cancer research to national intelligence.
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Desired:Strong Python skills, Experience with messages systems like Kafka, Working experience with ETL processing, Working experience with data workflow products like NiFiRecent experience (within the last 5 years) coordinating an organization’s shift toward implementing and executing modern IT delivery methodologies (e.g., DevSecOps, Agile, AIOps.
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There are a variety of Data Science opportunities across the Department, including supporting several specialized programs at the DHS Office of Strategy, Policy, and Plans (PLCY), the Cybersecurity and Infrastructure Security Agency (CISA) , DHS Office of the Chief Information Officer (OCIO) , and the Federal Emergency Management Agency (FEMA.
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Experience with cloud based Big Data technologies like Hadoop, Hive, Spark, and Airflow. The Lead Big Data Developer, working independently, will develop, test, debug and document software components commensurate with their experience as well as direct development staff in support of a software engineering effort.
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The division manages the IMF's Big Data Center, supporting Fund departments and IMF member countries with resources to engage in innovative projects utilizing data to help address and inform macroeconomic and financial policy development and research.
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Work on small projects analyzing a variety of big data covering national security, cyber security, business intelligence, online social media, human behavior and more. Previous experience performing research in data analytics or big data.
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Leverage big data technologies to efficiently process and analyze very large datasets, similar to those encountered in a federal agency. - Demonstrated experience working with very large datasets and leveraging big data technologies to process and analyze data efficiently.
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As a lead big data engineer at Booz Allen, you'll use your expertise to lead data engineering activities on some of the most mission-driven projects in the industry. We need a big data experienced professional like you to help our clients find answers in their data to impact important missions-from fraud detection to cancer research to national intelligence.
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Extracting data from CBRN-related modeling programs through post processing utilities to provide analysts user-friendly data tables and graphics to depict complexities such as toxicity effects over time, degradation of agent strength, and contaminated area coverage as a function of time.
$150,001 - $175,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Provides technical leadership and serves as team lead on complex data analysis projects, including projects that use complex analytic approaches common to the field of data science including AI/ML techniques, Natural Language Processing (NLP), statistical analysis, geographic analysis, data visualizations, and application/model development.
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Training & Certifications: Splunk, AWS, Big Data/Cloudera, VMWare, Scrum Master. Technology Tools: AWS, Open Search and Python Data Science tools. With minimal supervision provide accurate, timely, complex and sophisticated data analysis in support of key Agency, US national security, and foreign policy objectives and to shape Intelligence Community (IC) analysis priorities.
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Design, develop, and implement data architecture solutions using SQL Server, Microsoft Azure, Snowflake, and Databricks. The ideal candidate will have extensive experience in designing and implementing data solutions, with proficiency in SQL Server, Microsoft Azure, Snowflake, Databricks, and other relevant technologies.
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modern big data jobs Title: data science in Chevy Chase, MD
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