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Assist in leading the preparation of documents related to data governance, definitions, key metrics, and sample reports, ensuring alignment and consistency in reporting across the organization and standardized data analytics, visualization, and business intelligence reports.
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Big Data, Data Management, Business Intelligence, Mobile and Web Apps, Business Process Re-engineering, Business Process Management, artificial intelligence, intelligent automation, Information Management, and Digital Transformation.
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Data science, data analysis, statistics, or related field, Master's degree in Business, Computer Science, Engineering, Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field, Related industry experience (for example, retail, merchandising, healthcare, eCommerce), Successful completion of assessments in data analysis and Business Intelligence tools and scripting languages (for example, SQL, Python, Spark, Scala, R, Power BI, or Tableau.
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Energy Sciences, Biosciences, Physical Sciences, Computing Sciences, Nanotechnology, Supercomputing, Big Data, Energy Innovation, Science, Climate Change, exascale, computing, environmental science, materials science, Artificial Intelligence, AI, Machine Learning, Climate, Supercomputing, and Basic Science.
$126,900 - $214,140 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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QVine is a leading provider of Agile software development, cloud computing, big data, and other Information Technology (IT) services in the National Security and Defense sectors.
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ISC's core competencies include C5-ISR, IT Management Operations and cyber Security, Instructional Solutions, Test and evaluation Management Operation Services, and Big Data Business Intelligence and Data Analytics.
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Our capabilities range from C5ISR, AI and Big Data, cyber operations and synthetic training environments to fleet sustainment, environmental remediation and the largest family of unmanned underwater vehicles in every class.
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Openness to editorial feedback Strong analytical skills Preferred Qualifications: 5+ years professional journalism experience Knowledge of themunications, media and information technology industries a big advantage Knowledge of federal and state agency process and policy, as well as legislative procedures a plus Experience with data journalism (This section is only applicable to US candidates) S&P Global states that the anticipated base salary range for this position is $51,289 - $105,400.
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Option 2: Master's degree in Business, Engineering, Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field. Identifies possible options to address the business problems through analytics, big data analytics, and automation.
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Bachelors or higher in Computer Science, Software Engineering, Computer Engineering, Electrical Engineering, Mechanical Engineering, Engineering Technology, Information Technology, Physics, Mathematics, or any related field of study.
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Bachelor s degree (or foreign education equivalent) in Applied Computer Science, Computer Science, Engineering, Information Technology, Information Systems, Information Management, Business Administration, or a closely related field and six (6) years of experience as a Director, Data Engineering (or closely related occupation) overseeing teams of engineers developing systems and software using Snowflake, Oracle, SQL and PL/SQL, Apache, NiFi, and Kafka.
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Or, alternatively, Master’s degree (or foreign education equivalent) in Applied Computer Science, Computer Science, Engineering, Information Technology, Information Systems, Information Management, Business Administration, or a closely related field and four (4) years of experience as a Director, Data Engineering (or closely related occupation) overseeing teams of engineers developing systems and software using Snowflake, Oracle, SQL and PL/SQL, Apache, NiFi, and Kafka.
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Our diverse workforce includes skilled tradespeople; artificial intelligence, machine learning (AI/ML) experts; engineers; technologists; scientists; logistics experts; and business administration professionals.
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Big data developer will work on ingesting, storing, validating and disseminating after transforming data in a consumable format for business intelligence teams and data analysts to get deeper business insight from the data.
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Strong experience in big data technologies like AWS EMR, AWS EKS, Apache Spark. We are looking for big data developers for ETL project in our enterprise Transparency Services group.
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