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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. We need a data professional like you to help our clients find answers in their big data to impact important missions—from fraud detection to cancer research to national intelligence.
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Understanding of ETL methodology and/or creating data models within Qlik and/or Databricks environment to join multiple data sources into a model for accurate and efficient rendering of outputs within Qlik. Understanding of data automation principles.
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Seeking a highly motivated Data Analyst with surface Navy maintenance experience to support Navy clients onsite at Norfolk Naval Shipyard, Portsmouth, VA. The job demands a solid understanding of standard data, statistical, and financial analytics and business process improvement.
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Will work closely with the clinical researcher to assist with project development, cohort definition, data collection, tool development, IRB proposal, Sentara Portal submissions, and other project tasks as assigned.
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Advanced analytical and big data analysis skills. Load, transform, and rationalize data from systems of record (e.g., General Ledger, Resource Management, Asset Manager, CMDB) into the Apptio interface.
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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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Model validation experience in financial services industry a big plus. Your critical thinking skills help you to see the details within the big picture, informing your decision making and recommendations to solve problems.
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Mission Technologies is leading the next evolution of national defense - the data evolution - by accelerating a breadth of national security solutions for government and commercial customers. candidate will support MSO, working closely with our skilled trades teams, performing welding and fabrication processes and related duties on marine structural items to assist with alterations and installations for fleet modernization at our Woodlake Fabrication Shop Location in Chesapeake, Virginia.
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The NBS is a “one-stop” database of curated, regularly maintained hydrographic data collected by NOAA and other Federal providers. Expertise and knowledge in the field of hydrographic surveying and ocean mapping, including, but not limited to, acquisition of hydrographic survey data using sonar equipment and hydrographic software, analyzing/processing raw data, and creating intermediate charting products.
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Minimum 2 years of experience with large-scale data processing platforms such as Spark, EMR, and/or HPC computing experience with e.g. Apache Aurora, Slurm. Minimum 5 years of experience with ETL/ELT design and development using tools like IICS, AWS Glue, Talend, Databricks, Oracle Data Integrator (ODI) or equivalent.
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Skills preferred:Experience with big data tools: Spark, Kafka, etc. Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS technologies.
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Net, C#, Power BI, Machine Learning, Azure Data Factory, RedShift, UiPath, Cloud, RPA, AWS, Redshift, Python, Data Modeling, SQL, SSIS, SSAS, SSRS, Power Automate, Power Platform, AI Builder, Power Apps, Blue Prism, Automation Anywhere, UiPath Studio, Orchestrator, ERP, QuickBooks, SAP, NetSuite, Oracle, API, JSON, XML, Web Services, SOAP, Postman, Fiddler, Integration, Custom Activities, DLL, Insight, Automation Hub, Task Capture.
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Proven experience with migrating systems to cloud Proven experience with managing data lake/Business Intelligence/Artificial Intelligence projects Within the 10 years, at least seven years related to the implementation and maintenance of management information systems and or software intensive systems, and at least five years of system development and integration experience for DoD or software DoN programs hosted in the AWS GovCloud.
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Experience in applied research, computational social science, statistics, large-scale computing, modeling, or data science, and comfort with relevant tools, e.g., Python, R, Synapse, PyTorch, scikit-learn, in the fields of artificial intelligence (AI), machine learning (ML), and/or natural language processing (NLP.
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Communicate effectively at all times; obtain information, resources, and support within Reckitt / Mead Johnson Nutrition to maximize business opportunities and respond to customer needs; understand and implement the sales utility of clinical data, competitive intelligence, and marketing initiatives.
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