Join our team as a Data Engineer, focusing on building and maintaining robust data solutions. You will be instrumental in designing systems for data generation, collection, and processing, ensuring a seamless flow of information. This role involves developing efficient data pipelines and implementing ETL processes for data migration and deployment across diverse systems, guaranteeing data integrity and quality throughout.

Key responsibilities include designing, developing, and maintaining data solutions for generation, collection, and processing. Create and manage data pipelines, ensuring high data quality. Implement ETL processes for efficient data migration and deployment. Collaborate with cross-functional teams to understand data needs and deliver scalable solutions. Monitor and optimize data workflows for performance and reliability. Document data processes thoroughly and maintain clear team communication. Provide guidance and share knowledge with junior team members.

A minimum of 3 years of dedicated experience with Snowflake Data Warehouse is essential. Proficiency in designing and implementing data pipelines and ETL processes is required. Strong knowledge of data modeling and database architecture is expected. The ability to troubleshoot and optimize data workflows for performance and scalability is crucial. Familiarity with cloud-based data storage and processing solutions is beneficial. A comprehensive 15 years of full-time education is a prerequisite for this role.