Job Description

2-3 years of experience in Data Engineering or Analytics. Hands-on experience with Palantir Foundry platform. Strong understanding of Data Pipeline development and Data Modeling. Experience with Foundry Ontology, Code Repositories, Workshop, and Pipeline Builder. Proficiency in Python and SQL. Experience with ETL/ELT processes and large-scale data transformation. Understanding of data governance, data lineage, and data quality concepts. Experience working with REST APIs and external data integrations. Strong analytical and problem-solving skills.

Design, develop, and support data integration and transformation pipelines on the Palantir Foundry platform. Build and maintain Ontology models, data workflows, and operational applications within Foundry. Develop reusable data assets, data products, and business applications to support analytics and decision-making. Collaborate with stakeholders to gather requirements and translate business needs into technical solutions. Implement data quality checks, monitoring, and governance standards across data pipelines. Optimize pipeline performance and troubleshoot data processing issues. Work closely with data engineers, architects, and business teams to ensure successful project delivery. Support deployment, testing, and maintenance of Foundry-based solutions. Create technical documentation, process workflows, and knowledge-sharing materials. Follow Agile development practices and participate in sprint planning, reviews, and retrospectives.