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Job Location:
Rosemead, CA - USA
Monthly Salary:
Not Disclosed
Posted on:
6 hours ago
Vacancies:
1 Vacancy
Job Summary
Greetings from Infyshine
Currently we Hiring for one of our Clients
Palantir Foundry
Location: Rosemead CA
Duration: 6 months
Python PySpark and SQL Strong data engineering background (ETL / ELT concepts) Foundry certifications
5-10 years overall with strong Palantir Foundry experience
Must Have Technical/Functional Skills Design develop and maintain data pipelines using Palantir Foundry (Pipeline Builder Code Workbooks).
Build and manage Palantir Ontologies (Object Types Link Types Properties) to enable semantic and business-friendly data access.
Ingest transform validate and enrich data from multiple enterprise and external sources.
Implement scalable data transformations using Python PySpark and SQL.
Ensure data quality lineage governance reliability and performance across pipelines.
Collaborate with business stakeholders data scientists and platform teams to translate business needs into technical solutions.
Support analytics operational dashboards and downstream AIML use cases.
Monitor troubleshoot and optimize existing Foundry assets and pipelines.
Contribute to Agile delivery documentation and knowledge sharing.
Experience Required Preferred Nice-to-Have
Experience with Palantir AIP and AIML-enabled use cases.
Knowledge of TypeScript JavaScript for Foundry applications.
Experience with cloud platforms (Azure AWS or GCP).
Palantir Foundry certification.
Prior experience in utilities energy public sector or large regulated enterprises.
Roles & Responsibilities
Generic Managerial Skills
Education Bachelors degree in Computer Science Engineering Mathematics or equivalent
referred Nice-to-experience.
5 years of experience in data engineering or data-intensive application development.
Hands-on experience with Palantir Foundry including ontology modeling and pipeline development.
Strong programming skills in Python with solid experience in SQL and PySpark.
Strong understanding of data modeling ETLELT concepts and data governance.
Excellent analytical problem-solving and communication skills.
Duration: 6 months
Python PySpark and SQL Strong data engineering background (ETL / ELT concepts) Foundry certifications
5-10 years overall with strong Palantir Foundry experience
Must Have Technical/Functional Skills Design develop and maintain data pipelines using Palantir Foundry (Pipeline Builder Code Workbooks).
Build and manage Palantir Ontologies (Object Types Link Types Properties) to enable semantic and business-friendly data access.
Ingest transform validate and enrich data from multiple enterprise and external sources.
Implement scalable data transformations using Python PySpark and SQL.
Ensure data quality lineage governance reliability and performance across pipelines.
Collaborate with business stakeholders data scientists and platform teams to translate business needs into technical solutions.
Support analytics operational dashboards and downstream AIML use cases.
Monitor troubleshoot and optimize existing Foundry assets and pipelines.
Contribute to Agile delivery documentation and knowledge sharing.
Experience Required Preferred Nice-to-Have
Experience with Palantir AIP and AIML-enabled use cases.
Knowledge of TypeScript JavaScript for Foundry applications.
Experience with cloud platforms (Azure AWS or GCP).
Palantir Foundry certification.
Prior experience in utilities energy public sector or large regulated enterprises.
Roles & Responsibilities
Generic Managerial Skills
Education Bachelors degree in Computer Science Engineering Mathematics or equivalent
referred Nice-to-experience.
5 years of experience in data engineering or data-intensive application development.
Hands-on experience with Palantir Foundry including ontology modeling and pipeline development.
Strong programming skills in Python with solid experience in SQL and PySpark.
Strong understanding of data modeling ETLELT concepts and data governance.
Excellent analytical problem-solving and communication skills.
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