Palantir Foundry Data engineer

Wise Skulls llc
Pittsburgh, United States of America
11 days ago

Role details

Contract type
Temporary contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English

Job location

Pittsburgh, United States of America

Tech stack

API
Data Structures
Hadoop
Python
TypeScript
Spark
Data Layers
Front End Software Development

Requirements

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., * 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.

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