Palantir Foundry Data Engineer
E-Solutions
yesterday
Role details
Contract type
Permanent contract Employment type
Full-time (> 32 hours) Working hours
Regular working hours Languages
EnglishJob location
Remote
Tech stack
Agile Methodologies
Azure
Scrum
Power BI
SAP Applications
SQL Databases
Snowflake
PySpark
Information Technology
Data Pipelines
Requirements
- Bachelor's degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education.
- Experience with Information Technology.
- Experience of working in Palantir Platform (Foundry)
- Experience of Foundry Ontology
Preferred Qualifications:
- Design and develop Foundry-native data pipelines across ingestion, transformation, ontology modeling, and dataset materialization layers.
- Build and maintain modular pipeline components (Code Repos, Transforms, Ontology objects) aligned to Foundry best practices.
- Ensure data quality, lineage, and auditability through built-in validation frameworks and dataset ownership.
- Support production operations including pipeline reruns, dependency management, and failure recovery within Foundry.
- Integrate multi-source data (SAP, Snowflake, MES, PLM) into a unified ontology-driven data model.
- Collaborate with application and operations teams to operationalize datasets for business consumption.
- Good functional knowledge on the Manufacturing process
- Experience of BI Technologies like ADF, PowerBI, SQL etc
- Experience with Pyspark.
- Experience of Customer Interactions, requirement gathering, managing stakeholde
- Knowledge of Azure Devops, Quality process
- Experience with Agile methodologies, particularly Scrum.
- Experience working in a Global Delivery environment, client stakeholders spread across the globe to accomplish project goals
- Ability to work in team in diverse/ multiple stakeholder environment
- Excellent verbal and written communication skill