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Lead the evaluation and selection of appropriate data management tools and technologies. Design, develop, and implement data architecture solutions using SQL Server, Microsoft Azure, Snowflake, and Databricks.
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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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Experience with data warehousing, including AWS Redshift, MySQL, or Snowflake. As a big data engineer at Booz Allen, you’ll use your skills and experience to implement data engineering activities on some of the most mission-driven projects in the industry.
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The Senior Lead Data will be responsible for partnering with Technology, Machine Learning, Product Architecture, and other Capital One teams to support the development of the Finance Tech Data Strategy into products and services we create and consume.
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We need a strong data scientist leader to manage our ML & data science research & development and evolve the services that make up the backbone of Xometry's business. Serve as a strategic leader as part of our data science & machine learning team, with responsibility for Xometry's pricing strategy.
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Software Engineering & DevOps:Version Control: Familiarity with tools like Git. Continuous Integration/Continuous Deployment: Knowledge of pipelines and tools like Jenkins, Travis CI.Containerization: Familiarity with Docker, Kubernetes, etc., for scalable deployment of data science applications.
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MetaPhase supports the Chief Information Officer (CIO) and Chief Data Officer (CDO) at the National Science Foundation (NSF). This project supports the CIO/CDO through the implementation of data governance, data architecture & design, data quality initiatives, and community engagement programs through information sharing to harmonize the development of NSF’s data infrastructure.
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Architect and develop large-scale, distributed data processing pipelines using technologies like Apache Spark, Apache Beam, and Apache Airflow for orchestration. Proven expertise in Apache Spark, Apache Beam, and Airflow, with a deep understanding of distributed computing and data processing frameworks.
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Experience / familiarity with basics of data science and predictive modelling. As Data Engineer, you’ll have the opportunity to be on the forefront of driving a major transformation within Eagle Bank. We are a place where we take pride in our low egos, value curiosity and learning.
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Use cutting edge technologies such as Python, Scala, Spark, and a variety of Cloud services to develop modern data pipelines supporting Machine Learning and Artificial Intelligence. 3+ years of data warehousing experience (MS Synapse or Redshift or Snowflake.
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Utilizes GW and DHS data systems to prepare and submit, via batch data transmission, requests for all visa/immigration documents needed by admitted international students, their spouses, and their minor children to:apply for an appropriate visa to a DOS visa officer in the nonimmigrant visa (NIV) section of a US embassy or Consulate, and, subsequently apply for "admission" to the United States, in an appropriate immigration status, to a US Customs and Border.
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As a C-UAS All Source 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.
$85,800 - $180,200 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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1+ year of experience in data engineering using open-source technology stack along with cloud computing (AWS, Microsoft Azure, Google Cloud) 1+ year Experience working with Cloud Data Warehouse solutions (i.e., Snowflake, Synapse, Redshift.
$72,000 - $185,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Develop training materials and lead training sessions for non-technical audiences regarding data analysis, dashboarding, and visualization best practices. REPORTS TO : Director, Data Science.
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Bachelor's Degree in Data Science, Statistics, Mathematics, Computers Science, Engineering, or degrees in similar quantitative fields. Master's Degree in Data Science, Statistics, Mathematics, Computer Science, or Engineering.
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data job Title: data science lead Company: Booz Allen Hamilton in Mclean, VA
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