This role focuses on designing, developing, and maintaining advanced data solutions for data generation, collection, and processing. The Data Engineer will be instrumental in creating efficient data pipelines, ensuring high data quality, and implementing robust ETL processes for seamless data migration and deployment across systems. A key aspect of this position involves continuous collaboration to optimize data handling and meet organizational data needs.

- Independently perform duties and become a subject matter expert. - Actively contribute to team discussions and problem-solving. - Collaborate with cross-functional teams to understand data needs and deliver scalable solutions. - Monitor and troubleshoot data pipelines for optimal performance and reliability. - Document data processes for clarity and knowledge sharing. - Support junior team members with data engineering concepts and best practices.

- A minimum of 3 years of experience with Snowflake Data Warehouse is mandatory. - Proficiency in designing and optimizing data pipelines for large-scale data processing. - Strong understanding of data integration techniques and ETL processes. - Familiarity with cloud-based data storage and processing environments. - Ability to manage structured and unstructured data to ensure quality and consistency. - Requires 15 years of full-time education.