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Sr. Marklogic Developer
Company | Leidos |
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Location | Reston, VA, USA |
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Salary | $104650 – $189175 |
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Type | Full-Time |
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Degrees | Bachelor’s, Master’s |
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Experience Level | Senior |
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Requirements
- 4+ years of hands-on application development utilizing the MarkLogic framework.
- Strong analytical and design skills, with the ability to translate business requirements into efficient and effective technical designs within large-scale, well-structured enterprise environments.
- Significant experience in the development of service-oriented architecture applications.
- Good understanding of Object-Oriented Design and Design Patterns.
- Significant experience implementing the MarkLogic java-client-api within an enterprise application.
- Strong knowledge of XQuery, FLWOR queries, JavaScript, MarkLogic, SPARQL, RDF data, XML Data, triple-stores, XML Processing.
- Significant experience with Java and data processing, manipulation or querying (SQL and NoSQL).
- Bachelors with 8+ years of relevant experience or a Masters with 6 or more years of relevant experience. Will consider work experience in lieu of a degree.
- TS/SCI with a polygraph is required for consideration.
Responsibilities
- Design and develop solutions integrating MarkLogic with existing enterprise platforms and systems.
- Develop XQuery, JavaScript, and REST modules on the MarkLogic technology stack.
- Develop Entity models and participate in software programming initiatives using HTML, CSS, JavaScript, Java, Angular, Python, SpringBoot, and Hibernate.
- Develop and direct software system validation and testing methods using Junit and Katalon.
- Develop and integrate custom software solutions leveraging automated deployment technologies; while supporting the Agile software development lifecycle following Program SAFe practices.
- Analyze (though proof of concept, performance, and end-to-end testing) and effectively coordinate Infrastructure needs driven by developed software to meet customer mission needs.
Preferred Qualifications
- Experience developing in or deploying to AWS.