Hybrid Snowflake Data Engineer SQL and DBT Expertise

Position

Hybrid Snowflake Data Engineer with SQL and DBT Expertise

About

Elevate data engineering with hybrid opportunities for a talented Snowflake Data Engineer. Leverage your SQL and DBT skills in a dynamic environment focused on property and casualty insurance.

This hybrid role, requiring 6-12 months of commitment, seeks a skilled engineer with a deep understanding of the Snowflake platform. Ideal candidates should have at least 5 years of experience in data management and 3 years working with DBT for efficient SQL development. You will design and implement data extraction, transformation, and loading processes while ensuring top-tier production support.

Key Responsibilities

• Write efficient and maintainable SQL queries
• Develop modular SQL using DBT
• Design data ETL processes for cloud environments
• Collaborate with teams to meet objectives
• Mentor junior engineers on best practices

Requirements

• 5+ years Snowflake platform experience
• 3+ years experience with DBT
• Knowledge of Azure or AWS cloud environments
• Experience in property and casualty insurance
• Proficient with Git and Azure Dev Ops

Additional Information

Utilize your expertise in data engineering to drive effective solutions and support data-driven business strategies.

Reference

#J-18808-L