Data Engineer (Exp-9 Y) with Palantir exp-Full time-Onsite

We are looking for an experienced Data Engineer with strong hands-on expertise in Palantir Foundry, Python, PySpark, and SQL to build scalable data pipelines, integrate enterprise data sources, and deliver reliable data engineering solutions.

Key Responsibilities

• Design, develop, and maintain data pipelines using Palantir Foundry.

• Build and optimize data transformations using Python, PySpark, and SQL.

• Work with Foundry tools such as Pipeline Builder, Ontology, Workshop, and Code Repositories.

• Integrate data from APIs, SFTP, databases, and cloud-based data sources.

• Develop data models and support data quality, lineage, and governance.

• Build workflows, alerts, and operational data applications.

• Optimize pipeline performance and troubleshoot data processing issues.

• Collaborate with business stakeholders, data architects, and engineering teams in an Agile environment.

Required Skills

• 5+ years of experience in Data Engineering.

• Strong hands-on experience with Palantir Foundry.

• Proficiency in Python, PySpark, and SQL.

• Experience with ETL/ELT pipelines and data integration.

• Knowledge of data modeling, data quality, governance, and security.

• Experience with APIs, cloud platforms, and distributed data processing.

• Strong analytical, problem-solving, and communication skills.

Good to Have

• Experience in Financial Services, Fraud Investigation, or Risk Analytics.

• Knowledge of Palantir AIP, AI/Agentic workflows, and RAG architectures.

• Experience with enterprise data platforms and workflow automation.