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Mid-level data engineer title, 3-6 years, and metro Pune increase applicant competition despite niche Foundry requirement.
Palantir Foundry expertise narrows fit to employers using Foundry, limiting cross-industry transferability.
Explicit 3–6 years and mandatory Palantir Foundry experience enforce strict technical filters.
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Develop and maintain data pipelines, models, and analytical solutions using Palantir Foundry to support business decision-making.
Design and manage Ontology objects, relationships, and actions within Palantir Foundry.
Monitor data quality, lineage, pipeline performance, and collaborate with business and technical stakeholders.
3-6 years of data engineering experience.
Bachelor’s degree in Computer Science, Data Engineering, IT, or related field.
Hands-on experience with Palantir Foundry modules including Code Repositories, Pipeline Builder, Ontology, and Contour.
Strong knowledge of data modelling, ETL/ELT processes, pipeline development; experience with Python, SQL, or PySpark preferred but not mandatory.
Experienced in operating within Palantir Foundry environment focusing on reliable and optimized data pipelines.
Comfortable translating business requirements into technical data solutions, showing domain understanding across structured and unstructured data sources.
Skilled at collaborating across analysts, business teams, and technical stakeholders to drive data-driven insights and reporting.