Palantir Foundry
Required Skills: "Minimum of 2 years of hands-on experience using Palantir Foundry in a client delivery, implementation, consulting, or operational support environment. Experience building and maintaining production-ready data pipelines in Palantir Foundry. Experience managing data connections, integrations, and data transformation workflows. Experience supporting or developing Foundry ontologies. Demonstrated ability to build production-grade solutions leveraging both structured and unstructured datasets. Strong programming skills with demonstrated proficiency in Python and/or TypeScript/JavaScript. Proven ability to independently troubleshoot, investigate, and resolve technical tickets with limited supervision. Experience Working in Agile development environments and managing multiple concurrent work items. Strong analytical, problem-solving, and communication skills. Preferred Skills: Minimum of 2 years of hands-on experience using Palantir Foundry in a client delivery, implementation, consulting, or operational support environment. Experience building and maintaining production-ready data pipelines in Palantir Foundry. Experience managing data connections, integrations, and data transformation workflows. Experience supporting or developing Foundry ontologies. Demonstrated ability to build production-grade solutions leveraging both structured and unstructured datasets. Strong programming skills with demonstrated proficiency in Python and/or TypeScript/JavaScript. Proven ability to independently troubleshoot, investigate, and resolve technical tickets with limited supervision. Experience working in Agile development environments and managing multiple concurrent work items. Strong analytical, problem-solving, and communication skills. Day-to-day Responsibilities: Design, build, test, deploy, and maintain production-ready data pipelines within Palantir Foundry. Develop and maintain data integrations and data connections across multiple source systems. Support ontology development and enhancement initiatives to improve data usability and business value. Build scalable, production-grade software solutions using structured and unstructured datasets. Develop and maintain application logic, automation, and data processing workflows using Python and/or TypeScript/JavaScript. Investigate, troubleshoot, and resolve data, pipeline, and application issues independently. Perform root cause analysis and implement sustainable fixes for defects and support tickets. Collaborate with product owners, data architects, engineers, and client stakeholders to deliver mission-critical capabilities. Participate in Agile ceremonies, including sprint planning, backlog refinement, daily standups, and retrospectives. Manage and successfully deliver approximately 2-3 work items/tickets per sprint while maintaining high-quality standards and meeting delivery commitments. Contribute to documentation, knowledge sharing, and continuous improvement initiatives. Education: Bachelor's degree in Computer Science, Information Systems, Engineering, or a related technical field.