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Palantir Data Foundry

QUALIS1 INC
locationLos Angeles, CA 90079, USA
PublishedPublished: 6/14/2022
Manufacturing
Full Time

Job Description

Palantir Lead

Location : LA ( Los Angeles) -- Onsite role ---Local profiles only


No of years’ experience: 10+ years including 4+ years of Palantir experience


Detailed job description - Skill Set:


Expertise in Palantir Data Foundry, Ontology and Python knowledge.

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

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.

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. Typescript knowledge is must required

Recommend solutions to improve new and existing application solutions.

Offer support by responding to system problems in a timely manner.

Guidance to developers in preparing functional/technical specs to define reporting requirement and ETL process.

Technical Skills


Palantir Data Foundry, App dev, Type script and pyspark


Utilities domain experience


Possessing Palantir Foundry Data Engineer Certification is a plus


Utility T&D Domain knowledge, Grid modernization


Possessing past Palantir proven expertise in implementing mission critical production application is a must


Data Modeling, Framework build on Ingestion, Audit, Logging and Reconciliation

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