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PwC brand and Bengaluru location increase applicant density, but Palantir Foundry specialization reduces competition.
Palantir Foundry specialization limits cross-industry transfer despite general data engineering skills.
Mandatory 4+ years experience and Palantir Foundry expertise create strict technical and experience filters.
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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.
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.
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.