Description

You will design, architect, and implement analytics solutions and data pipelines using Palantir technologies.

This role is remote.

Responsibilities

• Build and manage data pipelines using Palantir Foundry, Ontology, and PySpark.
• Own end-to-end development of sustainable architectures and analytics models.
• Evaluate business requirements to define data warehouse structural necessities.
• Monitor system performance through testing, troubleshooting, and feature integration.
• Provide technical guidance on ETL processes and design architecture reports for executives.

Required Skills

• 5+ years of experience in data engineering roles.
• Expertise in Palantir Data Foundry and Palantir Ontology.
• Proficiency in Python and PySpark.
• Hands-on experience with Spark and Hadoop.
• Experience writing shell scripts for job scheduler execution.
• Knowledge of RDBMS and data warehouse implementation procedures.
• Understanding of data mappings and workflows.

Key Skills

Education

Any Gradute