Title: Palantir Foundry Data engineer
Location: Any Infosys hub location (Hybrid)
Duration: 6 months (possibility of an extension)
Implementation Partner: Infosys
End Client: To be disclosed
We are seeking a Spark and Palantir Foundry Full Stack Developer (Including Ontology building, Workshop application building). In this role, you will drive digital transformation for our clients using Spark and Palantir Foundry in a global delivery model. Responsibilities would include but not limited to design scalable applications, and support project teams with complex coding and issue resolution within estimated time. The objective is to deliver high-quality technical solutions aligned with Infosys guidelines, policies, and norms. You will be part of a collaborative and inclusive learning culture that values teamwork, rewards excellence, and respects diversity. Possessing Palantir Foundry Data Engineer Certification is a plus. Possessing past Palantir proven expertise in implementing mission critical production application is a must.
Data Engineering
Must have experience with code repository and utility driven development
Proficient with Transform API within Foundry
Proficient with batch, real time use case realization in foundry using Pipeline builder
Proficient with setting up source syncs, health checks and data expectations
Ontology Implementation
Must have Implementation experience with objects, links, actions, and functions in the Ontology
Must have Ability to structure and relate data using the Object Data Layer.
Application/Front End Development
Ability to translate business requirements into operational workflows and user-driven applications
Hands on Knowledge on Foundry’s Ontology and data structures
Build powerful applications by weaving together objects, links, and actions
Understanding of layout principles and user experience to ensure applications are intuitive and visually appealing
Ability to design dynamic and interactive workflows, leveraging Workshop’s events system and layouts
Implementing complex logic using custom Functions (e.g., Python, TypeScript) within Workshop widgets.
Any experience on Hadoop, Spark would be an additional advantage.