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Allegis Group
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Palantir Data Engineer

Palantir Data Engineer

5 - 10 years

|

20 - 30 Lacs

Posted:None| Platform:

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Skills Required

pyspark gcp palantir foundry

Work Mode

Work from Office

Job Type

Full Time

Job Description

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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