Key skills
Palantir FoundryData engineeringData pipelinesPySparkPythonSQLOntology designData quality processesAgile/ScrumCommunication skillsCollaborationData EngineeringAgileScrumCommunication
About this role
Dice is the leading career destination for tech experts at every stage of their careers. Their client, Goldenpick Technologies LLC, is seeking a Palantir Foundry Data Engineer to design and implement complex data engineering solutions using Palantir Foundry tools and methodologies.
Responsibilities:
- Strong proficiency with Palantir Foundry, including experience with tools like Pipeline Builder, Code Workbooks, Ontology Manager, and Quiver
- Advanced skills in data engineering, particularly with PySpark, Python, and SQL
- Experience designing and implementing complex ontologies within Palantir Foundry, including creating Object Types, Link Types, and Property Types
- Expertise in developing and managing data pipelines, including batch, incremental, and streaming pipelines
- Proficiency in semantic object linking and leveraging Foundry's semantic model for data transformation and enrichment
- Knowledge of data quality processes and the ability to implement testing and codification methods
- Understanding of program management principles and the ability to work in Agile/Scrum development teams
- Strong communication skills and the ability to collaborate with various stakeholders, including product owners and end-users
Requirements:
- Strong proficiency with Palantir Foundry, including experience with tools like Pipeline Builder, Code Workbooks, Ontology Manager, and Quiver
- Advanced skills in data engineering, particularly with PySpark, Python, and SQL
- Experience designing and implementing complex ontologies within Palantir Foundry, including creating Object Types, Link Types, and Property Types
- Expertise in developing and managing data pipelines, including batch, incremental, and streaming pipelines
- Proficiency in semantic object linking and leveraging Foundry's semantic model for data transformation and enrichment
- Knowledge of data quality processes and the ability to implement testing and codification methods
- Understanding of program management principles and the ability to work in Agile/Scrum development teams
- Strong communication skills and the ability to collaborate with various stakeholders, including product owners and end-users