Palantir Engineer

Accenture

Palantir foundry ecosystem
Python for data engineering and etl
Pyspark and distributed data processing
Design and implement ETL / data pipelines using Python and PySpark, and develop and maintain data transformations, models, and workflows within the Palantir platform

Job Summary

  • Design and implement ETL / data pipelines using Python and PySpark, and develop and maintain data transformations, models, and workflows within the Palantir platform.
  • Build and maintain applications and interfaces using TypeScript or Python, integrating multiple data sources into scalable data solutions deployed in Foundry and cloud environments.
  • Accenture prioritizes health and well-being through comprehensive health insurance, inclusive work arrangements, diverse learning paths, performance-based rewards, and resources for mental and physical wellness.

Matching Summary

Design and implement ETL / data pipelines using Python and PySpark, and develop and maintain data transformations, models, and workflows within the Palantir platform.

Skills & Requirements

Must-have

  • Palantir Foundry ecosystem
  • Python for data engineering and ETL
  • PySpark and distributed data processing
  • TypeScript for application development
  • Cloud platforms (AWS, Azure, or GCP)
  • Design and maintain ETL pipelines
  • Data modeling, data lakes, data warehousing

Nice-to-have

  • Palantir Foundry/Gotham experience
  • Orchestration tools and workflow scheduling
  • CI/CD pipelines and DevOps practices
  • Agile, cross-functional teams
  • Problem-solving and communication skills

Key Requirements

  • Individual working contract (CIM)

Work Rights

Not specified

Tailored Resume

Cover Letter