DBT / Snowflake Engineer

3-5 years of experience working with DBT and Snowflake in a data engineering or analytics role. Proficiency in SQL and strong understanding of data modeling techniques. Experience in building, testing, and optimizing DBT models and workflows in Snowflake. Familiarity with cloud-based data warehouses, particularly Snowflake. Solid understanding of data pipeline orchestration, scheduling, and automation. Hands-on experience in version control systems, such as Git.

Design, build, and maintain efficient and scalable data transformation pipelines using DBT on Snowflake. Work closely with data analysts and engineers to understand data requirements and develop transformation models. Optimize DBT models for performance and cost-efficiency. Automate and manage data workflows. Collaborate with cross-functional teams to ensure seamless integration of data transformations. Monitor and troubleshoot DBT and Snowflake-related issues. Ensure data quality through automated testing, validation, and documentation. Maintain clear documentation for DBT pipelines and Snowflake architecture.