Palantir Data Engineer

Job description: Bachelor’s or Master’s degree in Computer Science, Information Systems, Finance, Data Engineering or a related field. Significant hands-on experience with Palantir Foundry. 5 to 7 Years of relevant experience in Palantir Foundry. Advanced skills in Python, PySpark, and SQL. Experience with big data technologies, cloud platforms (AWS, Azure, GCP), and agile methodologies. Strong analytical thinking and problem-solving abilities. Data engineers at Palantir focus on building and optimizing data pipelines within the Palantir Foundry platform. Design and implement scalable ETL/ELT pipelines using Foundry's tools and code repositories. Use Python, PySpark, and SQL to ingest, transform, and manage large-scale data from diverse sources. Collaborate with data scientists and analytics teams to create data models (ontologies), ensuring data quality and governance. Perform data analysis, validation, and optimization to ensure data integrity and pipeline performance.