Description

Key Skills: Palantir, Pyspark

Roles and Responsibilities:

• Design and implement large-scale distributed data processing workflows using PySpark.
• Build and maintain data pipelines and data models to support analytics and downstream consumption.
• Develop robust data engineering solutions within Palantir environments, ensuring correctness and performance.
• Apply system architecture and design patterns to create maintainable, scalable components.
• Collaborate with engineering and product teams to translate requirements into production-ready data services.

Skills Required:

• 5 - 10 years of experience in data engineering and distributed systems.
• PySpark for distributed data processing and pipeline development.
• Palantir experience for building and delivering data solutions in Palantir environments.
• System architecture and design patterns for scalable distributed software systems.
• Production engineering practices for reliable, maintainable data workflows.

Good to Have:

• Experience as a Data Engineer delivering end-to-end data engineering solutions.

Education: Degree in Computer Science, Engineering, or a related field (or equivalent practical experience)

Key Skills

Education

Any Graduate