Data Engineer (Exp-6 Y) with Palantir exp-Full time-Onsite-F2F

Job Summary

We are looking for an experienced Data Engineer with strong Palantir Foundry expertise to design, develop, and maintain enterprise data solutions. The ideal candidate will have hands-on experience with Palantir Foundry, Ontology, Pipeline Builder, Workshop, Python, PySpark, and SQL, along with strong experience integrating enterprise data platforms.

Required Skills

• 5+ years of experience in Data Engineering.

• 3+ years of hands-on experience with Palantir Foundry.

• Strong experience with Ontology design, Pipeline Builder, Workshop, and Code Repositories.

• Excellent programming skills in Python, PySpark, and SQL.

• Experience integrating enterprise data sources using APIs, SFTP, and cloud-native data services.

• Experience developing operational workflows, alerts, dashboards, and case management applications.

• Knowledge of data governance, data lineage, security, privacy, and compliance.

• Experience working in Agile/Scrum environments.

• Strong communication and stakeholder management skills.

Preferred Skills

• Experience in Financial Services, Banking, Fraud Detection, or Fraud Investigation.

• Hands-on experience with Palantir AIP.

• Knowledge of Agentic AI workflows and RAG architectures.

• Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform.

• Understanding of modern data architecture and enterprise data platforms.

Key Responsibilities

• Design and develop scalable data pipelines and solutions using Palantir Foundry.

• Build and maintain Ontology-driven data models and workflows.

• Develop data transformations using Python, PySpark, and SQL.

• Integrate data from multiple enterprise systems and external sources.

• Build operational applications, alerts, and workflows using Palantir tools.

• Ensure data quality, governance, lineage, security, and compliance.

• Collaborate with business stakeholders, data teams, architects, and engineering teams.

• Participate in Agile ceremonies and support end-to-end project delivery.