Role & responsibilities

Design, develop, and maintain scalable data pipelines in Palantir Foundry using tools like Pipeline Builder, SQL, Python, and PySpark.
- Ingest, clean, transform, and curate data from diverse sources including enterprise systems, APIs, cloud platforms, and data warehouses.
- Build reliable datasets and reusable data products that support analytics, AI/ML, reporting, and operational workflows.
- Implement data quality controls, validation, lineage tracking, and monitoring to ensure trusted data consumption.
- Collaborate with cross-functional teams to translate business requirements into production-ready data solutions and model business entities.
- Optimize pipeline performance, troubleshoot production issues, and apply software engineering best practices such as version control and testing.
- Support data governance, compliance, ontology integration, and transparent communication of technical insights to stakeholders.

Preferred candidate profile

At least a Bachelor's & Master's degree
- At least 4 years of experience
- Oral and written proficiency in English required
- Hands-on experience with Palantir Foundry data engineering

📌 Data Engineer Palantir Foundry | Senior Associate| (Bengaluru)
🏢 Pricewater House Coopers Service Delivery Center Bangalore
📍 Bengaluru