Job
Description
As a pragmatic Palantir/Foundry engineer, you will be supporting clients in the Enterprise Data Platforms & Analytics sector by implementing Palantir-based data integration, operational analytics, and secure production deployments for large enterprises across industries. This on-site position in India requires hands-on engineering to design, build, and operate Foundry solutions that deliver measurable business outcomes. **Role Overview:** You will design and implement end-to-end Palantir Foundry pipelines, transforms, and datasets to support analytics and operational workflows. Additionally, you will develop and maintain Foundry Code Repositories, integrations, and custom connectors using Python and REST APIs. Your role will also involve optimizing data models, ETL performance, and query efficiency to meet SLAs for large-scale datasets. Furthermore, you will package, test, and deploy Foundry artifacts into production, own release validation, rollback plans, and operational runbooks. Troubleshooting platform issues, performing root-cause analysis, and implementing fixes to improve reliability and observability will be part of your responsibilities. Collaboration with data engineers, analysts, and stakeholders on-site to translate business requirements into production-grade solutions is also crucial. **Key Responsibilities:** - Design and implement end-to-end Palantir Foundry pipelines, transforms, and datasets - Develop and maintain Foundry Code Repositories, integrations, and custom connectors using Python and REST APIs - Optimize data models, ETL performance, and query efficiency for large-scale datasets - Package, test, and deploy Foundry artifacts into production - Troubleshoot platform issues, perform root-cause analysis, and implement fixes - Collaborate with data engineers, analysts, and stakeholders to translate business requirements **Qualifications Required:** - Proven hands-on experience with Palantir Foundry implementations and pipeline development - Professional proficiency in Python for data engineering and integration tasks - Strong SQL expertise for data modeling, transformations, and performance tuning - Experience with Apache Spark or distributed data-processing frameworks - Practical experience building and consuming REST APIs and integrating external data sources - Familiarity with source control and CI workflows (Git-based processes) If you are a pragmatic Palantir/Foundry engineer who thrives on building scalable data solutions and ensuring production reliability, this on-site role in India is ideal for you. Don't miss the opportunity to work on mission-critical analytics projects and grow deep expertise in Palantir Foundry. The fast-paced environment values ownership, technical excellence, and measurable outcomes. As a pragmatic Palantir/Foundry engineer, you will be supporting clients in the Enterprise Data Platforms & Analytics sector by implementing Palantir-based data integration, operational analytics, and secure production deployments for large enterprises across industries. This on-site position in India requires hands-on engineering to design, build, and operate Foundry solutions that deliver measurable business outcomes. **Role Overview:** You will design and implement end-to-end Palantir Foundry pipelines, transforms, and datasets to support analytics and operational workflows. Additionally, you will develop and maintain Foundry Code Repositories, integrations, and custom connectors using Python and REST APIs. Your role will also involve optimizing data models, ETL performance, and query efficiency to meet SLAs for large-scale datasets. Furthermore, you will package, test, and deploy Foundry artifacts into production, own release validation, rollback plans, and operational runbooks. Troubleshooting platform issues, performing root-cause analysis, and implementing fixes to improve reliability and observability will be part of your responsibilities. Collaboration with data engineers, analysts, and stakeholders on-site to translate business requirements into production-grade solutions is also crucial. **Key Responsibilities:** - Design and implement end-to-end Palantir Foundry pipelines, transforms, and datasets - Develop and maintain Foundry Code Repositories, integrations, and custom connectors using Python and REST APIs - Optimize data models, ETL performance, and query efficiency for large-scale datasets - Package, test, and deploy Foundry artifacts into production - Troubleshoot platform issues, perform root-cause analysis, and implement fixes - Collaborate with data engineers, analysts, and stakeholders to translate business requirements **Qualifications Required:** - Proven hands-on experience with Palantir Foundry implementations and pipeline development - Professional proficiency in Python for data engineering and integration tasks - Strong SQL expertise for data modeling, transformations, and performance tuning - Experience with Apache Spark or distributed data-
