Data Engineer

JOB SUMMARY This role focuses on developing and maintaining data transformation solutions using DBT and Snowflake. The ideal candidate will be responsible for building scalable ELT/ETL pipelines, optimizing data models, and ensuring data quality and security. This position requires strong SQL proficiency, experience with DBT development, and a solid understanding of data warehousing concepts. Key Responsibilities Develop and maintain DBT models, macros, and SQL scripts to transform data within Snowflake. Optimize data models, design star/snowflake schemas, manage warehouse performance, and implement clustering/materialized views. Create scalable ELT/ETL pipelines to ingest and transform data from diverse sources. Write modular, testable SQL code using version control and manage DBT project structures. Implement data quality checks, automated tests, anomaly detection, and data security, including RBAC, masking, and row-level access in Snowflake. Required Qualifications Bachelors degree in Computer Science, Data Engineering, or a related field 5+ years of experience with Snowflake and Strong SQL proficiency. 5+ years of experience with DBT and Hands-on experience developing with dbt. 3+ years of experience with Airflow development Good handle on Datawarehouse concepts. Preferred Qualifications Proficiency in Python for scripting and automation. Experience with AWS, Google Cloud Platform, or Azure environments. Education: Bachelors Degree