Role: Palantir Data Engineer
Mandatory Skills
- Palantir Foundry / Palantir Core
- Python
- PySpark
- ETL Pipeline Development
- Data Engineering
- Spark (PySpark)

Key Responsibilities
- Design and implement end-to-end data solutions using Palantir Foundry.
- Develop and maintain Foundry Ontology, pipelines, and modular applications.
- Build scalable ETL pipelines for data ingestion, transformation, and processing.
- Develop reusable Python and PySpark code for data engineering workflows.
- Integrate data from multiple source systems into the Palantir platform.
- Optimize data processing performance using Python libraries and PySpark.
- Design effective data models and workflows for structured and unstructured data.
- Work with distributed data processing frameworks and optimize Spark jobs.

Required Technical Skills
- Hands-on experience with Palantir Foundry (Ontology, Pipelines,



Modular Applications)
- Strong programming skills in Python and PySpark
- Experience in building scalable ETL pipelines
- Strong understanding of Data Engineering concepts
- Experience with Apache Spark and distributed computing
- Performance tuning and optimization of Spark/PySpark jobs

Good-to-Have Skills
- SQL
- Data Modeling
- Pandas and NumPy
- Experience handling large-scale structured and unstructured datasets

Candidate Profile
- 8+ years of overall IT experience.
- Minimum 6+ years of relevant experience in Palantir Foundry.
- Strong problem-solving and analytical skills.
- Experience in enterprise-scale data engineering projects.
- Good communication and collaboration skills.

📌 Palantir Data Engineer (Bengaluru)
🏢 Tekskills India Private
📍 Bengaluru