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Experience with data modeling and ETL development (data processing automation) Demonstrated knowledge in enterprise data strategy, data governance practices, data stewardship principles, data architecture principles, data standards, and metadata management best practices.
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2+ years of experience in advanced programmatic capabilities (batch apex, asynchronous apex, dynamic apex, platform events), data modeling to develop complex business logic and interfaces.
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Design, develop, and install database management systems, including database modeling and design, relational database architecture, metadata and repository creation, and configuration management.
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This role requires expertise in modeling languages, simulation software, and data analysis techniques. Responsibilities The Modeling Simulation Engineer will be responsible for developing and implementing modeling and simulation (M&S) solutions for GED. They will use M&S techniques to simulate real-world scenarios, analyze system performance, and support decision-making processes.
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Prior experience with Data Modeling, Data Analysis, Data Migration. PURPOSE:Senior IT Project Manager, leads, plans, executes, monitors, controls and closes projects for the Enterprise Project Management Office (EPMO.
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Knowledge of data modeling, optimization, and database design principles. Proven experience as an ETL Developer with expertise in tools such as Pentaho Data Integration. Design, develop, build, analyze, evaluate and install database management systems to include database modeling and design, relational database architecture, metadata and repository creation and configuration management.
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Work with data architects and data analysts to implement data modeling solutions, query, map and document Source to Target Mappings, understand database schemas streamline and support enterprise information management.
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Experience with physical and relational,dimensional, analytic experience ( using RDBMS, dimensional, NoSQL data platform technologies, ETL and data ingestion protocols ) data modeling.
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Support in analysis, modeling, and other quantitative techniques as needed to answer business questions and evaluate business issues and objections. - Skills Enhancement Data Analytics Training Program is provided for selected candidates.
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Experience with process modeling and documentation tools, such as VISIO. Strong analytical and problem-solving skills, with the ability to translate business requirements into technical solutions.
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Solid hands-on experience and knowledge of database concepts of data modeling and mapping including normalization, dimensionality, referential integrity, indexes, keys, master data, and metadata.
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As an experienced tech professional, you know that implementing improved digital initiatives with effective data modeling, process modeling, analytics, cloud knowledge, and cyber security is cru cia l for an organization’s future.
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Experience with digital engineering or data engineering ( e.g., AWS, databases, APIs, Kafka ) Develop and evaluate architecture and engineering models across various modeling languages such as SysML , UAFML, BPMN , and others to support customers that acquire, develop, integrate, and operate space systems at all levels of abstraction to include the enterprise, constellation, space vehicle, and space vehicle payload levels.
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Quantitative model building experience required and ideal if have Private Equity or Venture Capital experience level modeling. Under the direction of the CFO, you will work as a valued team member of a remote workplace environment and will be responsible for owning the Financial Modeling and Analysis for the business including the Operating Plan, Cash forecasting, and specialty Analysis such as Pro-Forma acquisitions.
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Team members work in a multitasking, fast-paced, dynamic, process improvement environment that comprises the principles of biometric technology, data modeling, data mapping, data testing, data quality, and documentation preparation.
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data modeling jobs in Chantilly, VA
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