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.

What You Must Have
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

What Sets You Apart
Experienced in building Ontology-ready data products in Palantir Foundry for operational applications, dashboards, workflows, AI/ML, and data science teams.
Skilled with Palantir AIP, AI-enabled workflows, model development, feature engineering, and data products supporting GenAI use cases.
Proficient in Palantir Application Development tools like Workshop, Quiver, Slate, Functions, Actions, and creating user-facing operational workflows.
Knowledgeable in API integration, event-based ingestion, streaming data, SFTP, JDBC/ODBC connectivity, and automated data ingestion patterns.

-Familiar with CI/CD, automated testing, data observability, alerting, production support, incident management, and solid stakeholder communication and problem-solving skills.

📌 Data Engineer Palantir Foundry Telangana
🏢 PwC
📍 Telangana