Data Engineer-Palantir Foundry-Senior Associate
PwC (company site, opens in a new tab)4+ yrsBengaluruOn-siteDirect career pageEst. 12–20 LPA
Posted on 30 Aug
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Job description
Structured overview of role & requirements
About This Role
- Design, develop, and maintain scalable data pipelines and reusable data products in Palantir Foundry for analytics, AI/ML, reporting, and operational workflows.
- Ingest, clean, transform, and curate data from diverse sources, implementing data quality controls, validation, and lineage tracking to ensure trusted data consumption.
- Collaborate with cross-functional teams to translate business requirements into production-ready data solutions, optimize pipeline performance, and support data governance and compliance.
Minimum Requirements
- Bachelor's and Master's degree required.
- Minimum 4 years of relevant experience.
- Hands-on experience with Palantir Foundry data engineering (Pipeline Builder, SQL, Python, PySpark) mandatory.
- Proficiency in English oral and written communication.
Ideal Candidate Profile
- Experience building ontology-ready data products in Palantir Foundry for operational applications, dashboards, and AI/ML workflows.
- Skilled in Palantir Application Development tools (Workshop, Quiver, Slate, Functions, Actions) and supporting GenAI use cases.
- Familiarity with API integration, event-based ingestion, streaming data, CI/CD, automated testing, data observability, and incident management in production environments.