Snowflake & dbt 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.