Palantir Data Engineer

Palantir Data Engineer – India | Remote Design, build, and maintain enterprise‑grade data pipelines on Palantir Foundry. The role supports end‑to‑end data flows, from ingestion to production monitoring, helping the company deliver reliable, governed data products for analytics and AI. Join a senior‑level data team that drives critical data platforms for regulated industries. What You’ll Do Design scalable pipelines using Palantir Foundry, PySpark, Python, and SQL. Build ingestion frameworks for databases, APIs, files, and cloud storage. Transform, cleanse, and enrich raw data into analytics‑ready datasets. Optimize jobs for performance, cost efficiency, and incremental processing. Implement data quality checks, monitoring, and alerting mechanisms. Manage version‑controlled code repositories and automated deployments. Troubleshoot production incidents and drive root‑cause fixes. What You Need 5+ years data‑engineering experience, including Palantir Foundry usage. Advanced PySpark, Spark SQL, Python, and SQL programming skills. Proven ability to design and operate ETL/ELT pipelines at scale. Strong grasp of data modeling, warehousing, metadata, lineage, and governance. Experience with distributed processing and large‑volume production workloads. Proficiency in Git (or similar) and Agile delivery practices. Excellent problem‑solving and incident‑management capabilities. Good to Have Familiarity with Palantir Ontology and advanced Foundry components. Experience with cloud platforms (AWS, Azure, or Google Cloud). Knowledge of CI/CD, DevOps automation, and formats like Parquet/Avro/JSON. Domain exposure to insurance, reinsurance, or banking. The Opportunity The position is fully remote in India, with occasional onsite travel in the next three months. It offers a chance to lead data‑platform initiatives for