Data Engineer

Responsibilities Develop and maintain data models in dbt following modular & scalable design principles. Design, develop, and maintain scalable data pipelines using Snowflake and DBT Build and optimize pipelines on Snowflake, ensuring performance, cost efficiency and scalability. Collaborate with cross functional teams to understand data requirements. Implement data quality checks and testing in dbt. Implement and optimize Airflow workflows for automation and scheduling of data processes. Maintain documentation for data models, transformations and processes. Develop and maintain CI/CD pipelines for data pipeline deployment and version control Troubleshoot and resolve issues related to data pipelines Qualifications Proven experience with Snowflake, DBT, Airflow, and CI/CD pipelines. Strong knowledge of SQL and data warehousing concepts. Experience in designing and optimizing ETL/ELT processes. Familiarity with cloud platforms (like AWS). Strong problem-solving skills and ability to work in a fast-paced environment. Excellent communication and collaboration skills. #J-18808-Ljbffr