Experience and Skills
· Experience in data engineering, specifically with Snowflake and DBT.
· Key skills required are robust hands-on experience with DBT
· expertise in building and managing data models using DBT commands, Jinja macros, and configurations, and proficiency in developing and managing DBT projects, testing, and documentation.
· Strong SQL proficiency, including advanced concepts, is essential.
· Experience with Snowflake's architecture and optimizing SQL queries for the platform is also necessary. · A solid understanding of data warehousing architectures and ETL/ELT processes,
data transformation, and quality is expected. ·
Proficiency with cloud platforms like AWS, Azure, or GCP and experience with version control systems like Git are often required. ·
Roles and Responsibilities
· Design, develop, and optimize data models and transformations using DBT · Build and manage ELT (Extract, Load, Transform) pipelines using DBT and other tools · Ensure data quality and integrity through testing and validation · Collaborate with data engineers, analysts, and other stakeholders · Optimize Snowflake (or other data warehouse) performance and cost · Drive data architecture decisions and implement best practices