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PwC brand, popular mid-level data role in Bengaluru with 4-year band increases competition despite Palantir specialization.
Palantir Foundry specialization reduces transferability, though core data engineering skills remain moderately transferable.
Mandatory 4+ years plus required Palantir Foundry and PySpark production experience tightens screening.
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Design, develop, and maintain scalable data pipelines and robust data solutions using Palantir Foundry and related tools (SQL, Python, PySpark).
Transform raw data from diverse sources into reliable datasets and reusable data products for analytics, AI/ML, reporting, and operational workflows.
Implement data quality controls, pipeline optimization, troubleshooting, and collaborate with cross-functional teams to translate business needs into production-ready data models.
Bachelor's & Master's degrees required.
Minimum 4 years of relevant data engineering experience.
Hands-on experience with Palantir Foundry data engineering is mandatory.
Proficiency in English (oral and written) required.
Experienced in building Ontology-ready data products for operational applications and AI/ML use cases within Palantir Foundry.
Skilled with Palantir AIP, application development tools, and advanced data ingestion techniques including API integration, streaming data, and automated ingestion.
Knowledgeable in CI/CD, automated testing, data observability, incident management, and effective communication with stakeholders.