Hybrid Snowflake Data Engineer SQL and DBT Expertise
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Job Description
Position: Hybrid Snowflake Data Engineer with SQL and DBT Expertise
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
Utilize your expertise in data engineering to drive effective solutions and support data-driven business strategies.
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