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Remote posting, common Data Engineer title, and Mumbai metro increase applicant density despite Palantir niche.
Highly platform-specific Palantir Foundry skills limit cross-industry portability.
Requires Palantir Foundry expertise, platform certifications and specific technical skills, making filters strict.
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Manage and configure secure, scalable data ingestion across multi-modal streams including structured, unstructured, streaming, and IoT data.
Design, implement, and maintain automated data pipelines and ontology objects within Palantir Foundry to model real-world concepts and ensure data governance compliance.
Develop end-to-end Palantir applications, translate business requirements to technical solutions, and provide training and support to end-users.
Bachelor's degree in Engineering (B.E./B. Tech.) or any graduate degree required.
Proficiency with Palantir tools: Preparation, Contour, Pipeline Builder, Workshop, Slate, Code Workbook, and Quiver.
Working knowledge of Python, PySpark, TypeScript, data modeling, ETL, relational databases, and API integrations.
This is a physical office role based in Mumbai; 2nd shift work (12:30 PM to 9:00 PM) required for US collaboration; Work Experience Required: Not explicitly mentioned in the JD.
Experienced in managing complex, multi-modal data ingestion and pipeline orchestration within Palantir Foundry ecosystem.
Capable of bridging business analysis and technical execution with strong problem-solving and communication skills involving cross-continental coordination.
Familiar with cybersecurity, data privacy, and compliance standards relevant to sensitive data handling in an enterprise setting.