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 explicit 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 Hyderabad
🏢 PwC
📍 Hyderabad