
Palantir Data Engineer
2 weeks ago
Role & responsibilities
- Design and implement scalable data pipelines using Palantir Foundry and Spark.
- Integrate and transform large datasets from retail systems for pricing and assortment analysis.
- Collaborate with cross-functional teams to build and maintain ontologies and operational workflows.
- Optimize data models and queries for performance and reliability.
- Support deployment and monitoring of data solutions in GCP environments.
- Ensure data quality, governance, and compliance with enterprise standards.
Preferred candidate profile
- Minimum 5 years of experience in Data Engineering.
- Hands-on experience with Palantir Foundry (Level 7+ expertise).
- Strong proficiency in Apache Spark (PySpark or Scala).
- Experience with Google Cloud Platform (BigQuery, Dataflow, Cloud Storage).
- Solid understanding of retail data models, pricing strategies, and assortment planning.
- Familiarity with CI/CD pipelines, version control (Git), and agile methodologies.
- Excellent problem-solving and communication skills.
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