Description

You will design, develop, and maintain scalable data pipelines and ETL workflows for reinsurance analytics.

This role is hybrid.

Responsibilities

• Build and optimize data ingestion, transformation, and validation processes using PySpark and SQL within Palantir Foundry.
• Manage datasets and ensure data lineage compliance on the Palantir Foundry platform.
• Collaborate with architects and actuarial teams to transform complex reinsurance datasets.
• Identify automation opportunities to improve pipeline efficiency and data quality.
• Ensure data security and governance compliance across all data workflows.

Required Skills

• 6+ years of experience in data engineering roles.
• Strong hands-on expertise in PySpark, including dataframe operations and performance optimization.
• Proven experience with Palantir Foundry or equivalent data integration platforms.
• Proficiency in SQL and Python for large dataset manipulation.
• Experience with cloud platforms (AWS, Azure, or GCP) and services like S3, Snowflake, or Databricks.
• Understanding of reinsurance data structures, including exposure, claims, and policy.
• Knowledge of data modeling and data governance frameworks.
• Familiarity with Git and Agile delivery methodologies.

Key Skills

Education

Any Graduate