Position Details
About this role
Data Engineer role focused on managing enterprise data life cycle using Palantir Foundry, building and maintaining data pipelines, and delivering dashboards for enterprise insights.
Key Responsibilities
- Design, build, and maintain data pipelines
- Maintain pipeline schedules and orchestration
- Create and optimize data connections, datasets, and transformations
- Troubleshoot data sync issues
- Build visualizations and provide user training/docs
Technical Overview
Stack includes Palantir Foundry, PySpark, SQL, Python, Azure Data Factory, SSIS, Tableau/Power BI; emphasis on ETL/ELT pipelines, data integration, and data quality.
Ideal Candidate
The ideal candidate is a mid-level data engineer with 4+ years of experience building and maintaining enterprise-grade data pipelines using PySpark and Palantir Foundry, capable of delivering scalable data solutions and dashboards in Palantir Foundry.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
Bachelor's degree not completed, Less than 4 years of relevant data engineering experience, Lack of experience with Palantir Foundry or similar ETL platforms
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