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.
We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.