Guidehouse
PalantirDeveloper
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“Palantir Developer at Guidehouse. Skills: Palantir Foundry, Python, PySpark, Data Pipelines. Support Palantir Foundry Application Development. design and develop full-stack application”
Industry & Context.
advanced data science or analytics expertise; design and deliver solutions with autonomy; consulting skills: identifying and addressing client needs; debug critical issues; resolve issues
Travel Required: Up to 10%, Clearance Required: None
What They're Looking For.
Must Have
Bachelor's Degree, THREE (3) years of prior relevant experience, Palantir Foundry expertise, developing data pipelines using Python/PySpark, advanced data science or analytics expertise, technical platforms, open-source programming technologies, design and deliver solutions with autonomy, working collaboratively as part of a team, communication/presentation skills, explain technical topics to non-technical audiences, consulting skills
Nice to Have
Master's Degree, supporting Federal Civilian, State and Local Government, or Energy Provider clients, support business development, RFP/RFQ/RFI responses involving data science/analytics/data engineering
What You'll Do.
Support Palantir Foundry Application Development
design and develop full-stack application
Work on frontend backend components
Improve application user interface
Implement operational applications
Develop interactive workflow UIs
build access data versions
Develop writeback functionality
Implement data visualizations
Maintain applications
Support Data Integration Management
Develop data pipelines
create datasets Foundry objects
Collaborate with Data Engineering Team
understand the ontology
Support end-to-end data pipeline development
Support designing building for high-scale
Support Testing Quality Assurance
Perform data validations analysis
use PyTest create implement unit tests
Implement Foundry Expectations
implement automated validations
Monitor debug critical issues
Develop execute unit tests
How You'll Work.
Team & Collaboration
Work closely with Subject Matter Experts; Collaborate with the Data Engineering Team; working collaboratively as part of a team
Communication Scope
communication/presentation skills; ability to explain technical topics to non-technical audiences
Full Job Description
**_Job Family_ :** Data Science Consulting ** _Travel Required_ :** Up to 10% **_Clearance Required_ :** None ** _What You Will Do:_** Support Palantir Foundry Application Development: * Work closely with Subject Matter Experts (SMEs) to design and develop a full-stack application using Palantir Foundry’s platform. * Work on both frontend and backend components, ensuring seamless integration and functionality. * Improve the application's user interface and visualization design. * Implement operational applications using Foundry Tools (Workshop, Quiver, and Slate). * Developing interactive workflow UIs. * Develop the ability to build/ access data versions within the tool as necessary to enable analytics. * Develop writeback functionality into the tool as needed. * Implement data visualizations using Foundry Tools (Quiver and Contour) and/or Power BI as necessary. * Maintain applications as usage grows and requirements change Support Data Integration and Management: * Develop data pipelines using PySpark to create datasets, Foundry objects, and User Interface applications primarily within the Foundry data management & development platform. * Collaborate with the Data Engineering Team to understand the ontology (data model) and data pipelines supporting the applications. * Support end-to-end data pipeline development – responsible for using Python and PySpark to perform ETL and derive new datasets necessary for business applications. * Support designing and building for high-scale data-intensive workflows Support Testing and Quality Assurance * Perform data validations and analysis, use PyTest to create and implement unit tests for one-time or automated tests embedded within a pipeline. * Implement Foundry Expectations within Foundry Health checks to implement automated validations for build freshness, data freshness, primary key, schema check, but also more complex data validation that should require a build to be aborted or a warning notification. Monitor and debug c
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