The role involves designing, developing, and maintaining data pipelines, analyzing large-scale datasets, and integrating data from multiple sources using Palantir components such as Core, Quiver, Slate, Map, and Pipeline Builder. The candidate should have strong proficiency in Python, PySpark, SQL/PySQL, and experience working with AWS, Spark, Flink, Kafka, Kubernetes, Gradle, Webpack, and GitHub.