Data Engineer - Palantir Foundry
Strategic HR Solutions
Palantir Foundry Data EngineerLocation : PAN IndiaExperience : 10+ YearsProject-Specific Prerequisite Skills : - Palantir Foundry- Workshop- Ontology- Application DevelopmentDetailed 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 3Roles 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. (ref:hirist.tech)
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