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Should be skilled in data visualization and use of graphical applications, including Microsoft Office (Power BI) and Tableau; major data science languages, such as Rand Python; managing and merging of disparate data sources, preferably through R, Python, or SQL; statistical analysis; and data mining algorithms.
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As a Capital One Senior Manager Data Engineer, you’ll have the opportunity to be on the forefront of driving a major transformation within Capital One. Senior Manager, Data Engineering.
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Utilize programming languages like Scala, Java, Python, SQL and GO and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake. 4+ years of data warehousing experience (Redshift or Snowflake.
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Execute duties and responsibilities of the Deputy Program Manager (DPM) for the Data Science Team for CCI EMSO (PM-X Program Management Office (PMO. The Senior Data Analyst will be supporting the Combatant Command Intelligence Enterprise Management Support Office (CCI EMSO) in the mission areas of Data Engineering, Data Science, Data Analytics, and Information Visualization.
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Pearson VUE is a business of Pearson, the world's leading learning company with global-reach and market-leading businesses. Pearson VUE provides a full suite of services from test development to data management and delivers exams through the world’s most comprehensive and secure network of test centers in more than 180 countries, where we validate the skills and knowledge of millions of individuals every year.
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The ideal candidate will have a strong background in data engineering, with expertise in Databricks, DevOps tools (Jenkins/Terraform), and data modeling concepts (3NF, Dimensional, Data Vault.
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Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.
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Data science tools/languages: R, R Studio, Python (data preparation and analysis libraries), Databricks, etc. This role spans the spectrum of data capabilities from data vision and strategy all the way through data science, in addition to cloud, DevSecOps, and integration capabilities.
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You will also be directly responsible for the processes that maximize customer uptime in the most cost-effective way by working very closely with the Data Center Manager. As the Facilities and Data Center Technician IV, you must possess an expert level of knowledge and will be responsible for the operational integrity and regulatory compliance of the facilities and data center electrical, mechanical, fire life safety systems, and communications infrastructure.
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Experience with distributed data and computing tools, including Spark, Databricks, or AWS EMR. Experience with data warehousing using AWS Redshift, MySQL, or Snowflake. 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.
$75,600 - $172,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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10+ years of experience in design and specification of: lighting systems, power systems, fire alarm systems, telcom/data systems, medium voltage power systems, UPS systems, emergency generator systems, grounding systems, and utility systems.
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The Data Center Technician III assists in the operational integrity, security, and regulatory compliance of the data center. Completion of CoreSite's Data Center Operations Qualification Program to the tier level at which you are hired within the first nine (9) months of employment.
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Big Data Technologies:Distributed Computing: Tools like Apache Spark, Hadoop. 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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This high performing team works with clients to implement the full spectrum of data analytics and data science, from data querying and data wrangling, to data visualization and dashboarding, to predictive analytics, machine learning, and artificial intelligence as well as robotic process automation (RPA.
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Leveraging Unique Data Holdings - Harness the full weight of the company's unique data holdings, including product telemetry, front line Incident Response (IR) and Managed Detection and Response (MDR) data, and Intel Holdings - Utilize these resources to collect malware samples of interest and produce valuable insights that enhance the effectiveness and differentiation of our threat intelligence capabilities.
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market data jobs Title: finance manager in Vienna, VA
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