This role is for one of Weekday’s clients Salary range: Rs 3000000 - Rs 7000000 (ie INR 30 - 70 LPA) Experience: 3+ years of relevant experience (hands-on Palantir Foundry experience preferred) Employment: Full-time / Contract Work Model: Remote We are looking for an experienced Palantir Foundry Engineer to design, develop, and maintain scalable data engineering solutions, enterprise applications, and AI-enabled workflows using Palantir Foundry. The ideal candidate will have hands-on experience building data pipelines, integrating multiple data sources, developing Foundry Ontologies, and translating complex business requirements into reliable, production-ready solutions. Requirements Key Responsibilities - Design, build, and maintain scalable data pipelines and data transformation workflows using Palantir Foundry. - Develop data ingestion and integration solutions connecting databases, APIs, cloud platforms, and enterprise applications. - Write and optimize data transformations using Python, SQL, PySpark, or Spark. - Design and maintain Palantir Foundry Ontologies, including objects, relationships, actions, and functions. - Build operational applications, dashboards, and business workflows using Foundry Workshop and relevant application development tools. - Integrate AI/ML capabilities and LLM-powered workflows using Palantir AIP, where applicable. - Implement data quality checks, validation, monitoring, access controls, and governance practices. - Troubleshoot pipeline failures, data inconsistencies, and application performance issues. - Collaborate with data engineers, software engineers, architects, and business stakeholders to deliver end-to-end solutions. - Maintain technical documentation, version control, testing standards, and production deployment processes. Required Skills & Qualifications - Hands-on experience with Palantir Foundry in a development or implementation role. - Strong programming skills in Python and SQL. - Experience building data pipelines and performing complex data transformations. - Knowledge of PySpark/Spark and large-scale data processing. - Practical understanding of Foundry Ontology, including data modeling, objects, links, actions, and functions. - Experience with data integration, APIs, relational databases, and structured or unstructured data. - Understanding of data quality, testing, troubleshooting, and production support. - Strong analytical and problem-solving skills. Preferred Qualifications - Experience with Palantir AIP, LLM integration, AI agents, or AI-powered enterprise workflows. - Exposure to AWS, Azure, or Google Cloud Platform. - Experience with Foundry Workshop, Code Repositories, Pipeline Builder, and Ontology Manager. - Familiarity with TypeScript, React, REST APIs, CI/CD, and software development best practices. - Experience delivering enterprise data or AI solutions in production environments. Ideal Candidate: A hands-on engineer who understands both data engineering fundamentals and the Palantir Foundry ecosystem, with the ability to independently build, troubleshoot, and deploy production-ready solutions. Application Requirement: Candidates should clearly mention their hands-on Palantir Foundry experience, relevant projects, technical skills, notice period, and availability. Must-have skills Palantir Foundry, Python, SQL Good-to-have skills Palantir AIP, LLM integration, AI agents