Data Engineer

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., * 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.

• 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.