| Role name: | Developer |
|---|---|
| Role Description: | Support Palantir Foundry Application Development by designing and developing full stack applications.Work on both frontend and backend components to ensure seamless integration and functionality.Improve application User Interface and visualization design.Implement operational applications using Foundry Tools (Workshop, Quiver, and Slate).Develop interactive workflow UIs and build/access data versions within the tool for analytics.Develop writeback functionality into the tool as needed.Implement data visualizations using Foundry Tools (Quiver and Contour) and/or Power BI.Maintain applications as usage grows and requirements change.Develop data pipelines using PySpark to create datasets, Foundry objects, and User Interface applications.Collaborate with the Data Engineering Team to understand the ontology and data pipelines supporting the applications.Support end-to-end data pipeline development using Python and PySpark for ETL processes.Support designing and building high-scale data-intensive workflows.Perform data validations and analysis, using PyTest to create and implement unit tests.Implement Foundry Expectations within Foundry Health checks for automated validations.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. |
| Competencies: | Digital : Cloud Foundry |
| Experience (Years): | 8-10 |
| Essential Skills: | Support Palantir Foundry Application Development by designing and developing full stack applications.Work on both frontend and backend components to ensure seamless integration and functionality.Improve application User Interface and visualization design.Implement operational applications using Foundry Tools (Workshop, Quiver, and Slate).Develop interactive workflow UIs and build/access data versions within the tool for analytics.Develop writeback functionality into the tool as needed.Implement data visualizations using Foundry Tools (Quiver and Contour) and/or Power BI.Maintain applications as usage grows and requirements change.Develop data pipelines using PySpark to create datasets, Foundry objects, and User Interface applications.Collaborate with the Data Engineering Team to understand the ontology and data pipelines supporting the applications.Support end-to-end data pipeline development using Python and PySpark for ETL processes.Support designing and building high-scale data-intensive workflows.Perform data validations and analysis, using PyTest to create and implement unit tests.Implement Foundry Expectations within Foundry Health checks for automated validations.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. |
| Desirable Skills: | General understanding of databases Data warehouse and data modelingStrong analytical and problem solving skills with an ability to learn quickly and continuously |
| Country: | United States |
| Branch | City | Location: | TCS – San Francisco, CA SAN FRANCISCO San Francisco, CA |
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