Description

You will design, architect, and implement analytics solutions and data pipelines using Palantir technologies. You own the end-to-end development of sustainable architectures and analytics models while providing technical guidance on ETL processes and functional specifications.

Responsibilities

• Build and manage data pipelines using Palantir Foundry, Ontology, and PySpark.
• Evaluate business requirements to identify data warehouse structural necessities.
• Monitor system performance through regular testing, troubleshooting, and feature integration.
• Design architecture reports for management and executive teams.

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