Description

You design and implement scalable data pipelines to support pricing and analytics initiatives.

This role is on-site.

Responsibilities

• Build and maintain enterprise data pipelines using Snowflake and DBT.
• Develop model-ready datasets and optimize workflow performance and reliability.
• Establish data standards, metadata management, and governance practices.
• Support data drift monitoring and data quality frameworks.
• Collaborate with cross-functional teams including pricing, QA, and BI.

Required Skills

• 10+ years of experience in data engineering.
• Strong hands-on expertise with Snowflake and DBT.
• Advanced SQL and data modeling skills.
• Experience building ETL/ELT pipelines.
• Native Python commands, including Python SDK usage (e.g., inflating columns with percentages) and CLI-based script migration.
• Knowledge of metadata management and data governance.
• Bachelor's degree in a relevant field.

Preferred Skills

• Experience in insurance or financial services.
• Exposure to pricing or actuarial datasets.
• Familiarity with DataStage or Informatica.

Key Skills

Education

Bachelor's degree