Palantir Foundry Data Engineer

Location : PAN India

Experience : 10+ Years

Project-Specific Prerequisite Skills :

- Palantir Foundry

- Workshop

- Ontology

- Application Development

Detailed Job Description :

Seeking a skilled Data Engineer proficient in SQL, Python, and Spark to design and optimize scalable data solutions within the Palantir Foundry environment.

Must-Have Skills :

- Strong knowledge of SQL, Python, Spark, and Hadoop.

- Experience with Python, Spark, and TypeScript for data processing and application development.

- Optimize performance of data transformations and analytical queries.

- Collaborate with cross-functional teams to understand business requirements and translate them into effective data solutions with offshore team.

- Familiarity with designing and implementing scalable data pipelines and workflows using Palantir Foundry.

- Working knowledge of Palantir modules such as Contour, Quiver, Vertex, and app development.

- Develop and maintain data models, ontology layers, and operational dashboards.

- Ensure data quality, integrity, and governance across all Palantir-based solutions.

- Stay updated with Palantir platform updates and best practices.

Desired Skills :

- Workshop - Level 4

- Quiver - Level 4

- AIP - Level 3

- Pipeline Builder - Level 3

- Code Repository - Level 3

- PySpark - Level 3

- Ontology - Level 3

Roles and Responsibilities :

- Design, develop, and optimize scalable data pipelines and workflows.

- Collaborate with stakeholders to gather and analyze business requirements.

- Translate business needs into technical data solutions leveraging Palantir Foundry.

- Maintain and enhance data models, ontology layers, and dashboards to support analytics.

- Monitor and improve data quality, integrity, and governance standards.

- Utilize modules like Contour, Quiver, and Vertex for application development.

- Participate in code repository management and pipeline building activities.

- Continuously update skills and knowledge on Palantir platform features and best practices.