We are seeking a Data Engineer with hands-on experience in Palantir Foundry, SQL, Python, PySpark, Spark, and Hadoop to design, develop, and optimize scalable data pipelines and analytics solutions.
Key Responsibilities
Design and develop scalable data pipelines using Palantir Foundry.
Build data solutions using SQL, Python, PySpark, Spark, and Hadoop.
Develop data models, ontology layers, and dashboards.
Optimize data transformations and analytical queries.
Collaborate with business teams to deliver data-driven solutions.
Ensure data quality, governance, and platform best practices.
Work with Contour, Quiver, Vertex, Pipeline Builder, and Code Repository.
Required Skills
Palantir Foundry
SQL, Python, PySpark, Spark, Hadoop
TypeScript (preferred)
Data Pipelines & ETL
Data Modeling & Ontology
Solid analytical and problem-solving skills