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The ideal candidate will have a strong background in big data analytics, data engineering, and cloud computing, with a focus on building and optimizing data lakes on AWS. The Cloud Big Data Expert plays a crucial role in designing, implementing, and managing advanced data solutions using both AWS and Data Lakehouse platforms.
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Software Engineering, Intelligence Community, Java EE, Amazon AWS Consulting Partner, GSA Schedule, Microsoft Partner, Cross Domain Solutions, Business Automation, Business Intelligence, Artificial Intelligence & Machine Learning, Content Management, and Integrated Data Management.
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As a Full Stack Engineering Consultant, working on a hybrid schedule in Northern Virginia (2-3 days/week onsite) , you can join us in doing what we do best: propelling business forward. Experience integrating Business Intelligence applications like Qlik Sense, Tableau, or PowerBI.
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This position requires a minimum of % hybrid on-sitePreferred Qualifications:An advanced degree in a STEM field – preferably electrical engineering, radar engineering, systems engineering, data analytics, artificial intelligence or equivalent.
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In business for more than 52 years, we excel in full-spectrum cyber, data collection & analytics, enterprise IT, and systems and software engineering solutions that support national and homeland security.
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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. We need an experienced data engineer 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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The ideal candidate will have a robust background in big data analytics, data engineering, and cloud computing, with a particular focus on building and optimizing data lakes on AWS. This role is crucial for designing, implementing, and managing advanced data solutions using AWS and Data Lakehouse platforms.
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High level of proficiency in Python, DataBricks, SQL, Spark, and other Data Engineering and DataScience tools. Desired Qualifications:- TS/SCI clearance is required- Minimum of 3 years of experience as a military Data Subject Matter Expert or related role, withdemonstrated experience with digital strategy, IT project management, enterprise architecture,SDLC (Software Development Life Cycle), or transformation.
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Advanced experience with quantitative analysis software (e.g., R, Stata), data visualization and mapping software (e.g., Tableau, Power BI, ArcGIS), and online survey software (e.g., Qualtrics) is required.
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Master’s degree in Computer Science , Information Technology, Engineering, Engineering Management, Management Information Systems, or related STEM degree program. Bachelor's degree or higher in Computer Science, Information Technology, Engineering, Engineering Management, Management Information Systems, or related STEM degree program, or related equivalent additional experience.
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This person will have a strong background in data engineering and analytics, with a focus on implementing and optimizing dbt workflows. Key Responsibilities:Data Transformation and Modeling: Lead the development and maintenance of analytics workflows using dbt to clean, transform, and document raw data into consumable information and business logic.
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Building on The Aerospace Corporation's reputation as a trusted, impartial advisor with integrity and dedication to mission success, the Civil Systems Group (CSG) combines deep technical expertise with market-leading innovation to help our customers solve complex systems engineering and integration challenges.
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Solutions architecture and hands-on engineering/full-stack development of scalable and secure distributed systems using modern software technologies and programming, Cloud Native and microservices architecture, containerization, and API-First design patterns.
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Work on small projects analyzing a variety of big data covering national security, cyber security, business intelligence, online social media, human behavior and more. Work closely with a tight-knit team of data scientists, as well as a larger team of software developers, network engineers, senior investigators, program managers, researchers, and data analysts to design, build, and optimize a Data Science platform to produce and analyze results, disseminate findings, and contribute to publications and presentations.
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The Global Logistics Senior Business Analyst will be responsible for analyzing Transportation, Logistics, and Trade Compliance data to identify trends, patterns, and insights that will inform business decisions.
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big data software engineering business systems jobs Company: Amazon Web Services Aws in Bethesda, MD
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