Description

You will build and manage data pipelines and reporting structures using Palantir Foundry and PySpark.

This role is on-site.

Responsibilities

• Build data pipelines using code repositories within Palantir Foundry.
• Create data health checks and expectations to ensure data quality.
• Perform data analysis using Contour.
• Design and implement data models based on specific business requirements.
• Translate business problems into technical implementations.

Required Skills

• 6+ years of experience in data engineering and reporting.
• Proficiency in PySpark for data processing and management.
• Hands-on experience with Palantir Foundry and its applications.
• Familiarity with Hadoop and Spark.
• Experience optimizing Spark-based pipelines.
• Strong understanding of data model design and ETL processes.
• University degree in a quantitative field such as Mathematics, Statistics, Computer Science, or Information Technology.

Preferred Skills

• Familiarity with Financial Reporting and Valuations, such as IFRS17.
• Knowledge of TypeScript or visualization tools including HTML, CSS, React, Angular, D3.js, or Chart.js.

Key Skills

Education

Any Graduate