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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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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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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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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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Gather and analyze customer feedback and market data to inform sales strategies and product development initiatives. Market Intelligence:Stay informed about industry trends, market dynamics, competitor activities, and customer needs to identify opportunities and mitigate risks.
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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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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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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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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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Responsibilities ResponsibilitiesYou will design, write, and maintain semi-automated routines and related documentation and reports for data analysis, data engineering, data management, and mass processing, primarily in the context of hydrologic & hydraulic (H&H) flood modeling and related risk analysis of natural hazards.
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As we go-to-market we will show our clients that we serve more than HR organizations - from the CEO to CFO, Risk Manager to Business Unit leader-and that we deliver on our issues and help create value for our clients.
$119,025 - $198,375 a yearFull-timeExpandApply NowActive JobUpdated Today
market data jobs Title: finance manager Company: Ryder System in Vienna, VA
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