Full-stack Engineer

• Support Palantir Foundry Application Development: Work closely with Subject Matter Experts (SMEs) to design and develop full stack application using Palantir Foundry’s platform.
• Work on both frontend and backend components, ensuring seamless integration and functionality.
• Improve on application User Interface and visualization design.
• Implement operational applications using Foundry Tools (Workshop, Quiver, and Slate).
• Developing interactive workflow UIs.
• Develop 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 changes
• 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 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 test for one time or automated test 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 critical issues such as data staleness or data quality.
• Develop and execute unit tests, integration tests, and end-to-end tests to ensure software quality.
• Debug and resolve issues reported by users or identified through testing.

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