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Tier-1 brand and metro location increase competition, but niche Palantir/Snowflake skills and seniority limit candidate pool.
Core data engineering skills are transferable, though Palantir Foundry and enterprise AI governance reduce cross-industry fit.
Multiple mandatory data platform skills and enterprise governance requirements enforce strict shortlisting.
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Design, build, and maintain scalable data and AI applications, data pipelines, and platform components for enterprise functions such as HR, procurement, and legal.
Take full ownership of data platforms ensuring cost efficiency, governance, security, and compliance across the full data lifecycle.
Collaborate in an international team using platforms like Snowflake, AWS, and Palantir Foundry to deliver high-impact AI and analytics solutions at scale.
Proficient in Python and Spark; hands-on experience with data platforms including Palantir Foundry, Snowflake, and PySpark.
Strong professional experience in software engineering with focus on application design, development, and delivery in enterprise environments.
University degree or equivalent in a relevant technical or engineering discipline.
Work Experience Required: Not explicitly mentioned in the JD.
Experience working in product-oriented delivery models within internationally distributed teams.
Strong understanding of data pipeline architecture, governance, privacy, security, and enterprise compliance standards.
Demonstrated AI literacy including AI practical application, ethics, bias, fairness, privacy, and governance considerations.