We are looking for a skilled and proactive Data Engineer to join our team and contribute to the development of modern data solutions that drive key business initiatives. The ideal candidate will have strong hands-on experience with Snowflake and DBT along with foundational knowledge of Python for scripting and automation. Exposure to AWS cloud services is a Responsibilities:Design build and maintain scalable data pipelines using Snowflake and data modeling transformation and integration to meet business clean and efficient Python scripts for automation and workflow data quality integrity and performance through rigorous testing and best with cross-functional teams including analytics operations and in agile ceremonies such as sprint planning code reviews and and optimize existing data workflows and resolve issues -Have Skills:Strong experience with Snowflake (data warehouse design performance tuning SQL).Proficiency in DBT for data transformation and knowledge of Python for scripting and -to-Have Skills:Familiarity with AWS services (e.g. S3 Lambda Glue Redshift).Understanding of CI/CD pipelines and version control systems like :Minimum 5 years of experience in data engineering or a related analytical and problem-solving abilities.