We are seeking a highly experienced Senior Data Engineer to lead the design and development of model-ready data solutions for Data Analytics & Monitoring Tools for our Pricing Team. This role will be responsible for building scalable data pipelines, enabling standardized datasets, and supporting advanced analytics and pricing use cases.
Key Responsibilities:
- Design and implement scalable data pipelines using Snowflake and DBT
- Develop model-ready datasets to support pricing and analytics initiatives
- Establish data standards, metadata management, and governance practices
- Collaborate with cross-functional teams including pricing, QA, and BI
- Support data drift monitoring and data quality frameworks
- Optimize performance and reliability of data workflows
Required Qualifications:
- 10+ years of experience
- Strong hands-on experience with Snowflake and DBT
- Expertise in SQL and data modeling
- Experience building enterprise data pipelines (ETL/ELT)
- Knowledge of metadata management and data governance
- Strong problem-solving and communication skills
- Working experience in Python
- Native Commands in Python SDK - inflate column with percentage
- Migrate Python Scripts - out of the box CLI
Preferred Qualifications:
- Experience in insurance or financial services
- Exposure to pricing or actuarial datasets
- Familiarity with DataStage or Informatica