As a Data Engineer, you will be instrumental in designing, developing, and maintaining robust data solutions for generation, collection, and processing. Your role will involve building efficient data pipelines, ensuring stringent data quality, and implementing ETL processes for seamless data migration and deployment across systems. You will be a key contributor to enhancing data workflows and improving overall data management practices.

This position requires active participation in team discussions and the ability to independently contribute as a subject matter expert. You will also be expected to provide solutions to work-related challenges and assist in optimizing data processes for improved performance and reliability. Collaboration with cross-functional teams to understand and fulfill data requirements will be a core aspect of your responsibilities.

- Design, develop, and maintain data solutions for data generation, collection, and processing. - Create and manage data pipelines, ensuring high data quality. - Implement ETL (extract, transform, load) processes for data migration and deployment. - Perform independently and become a subject matter expert (SME). - Actively participate and contribute to team discussions. - Provide solutions to work-related problems. - Assist in optimizing data processes for enhanced performance and reliability. - Collaborate with cross-functional teams to understand data requirements and deliver effective solutions.

A minimum of 3 years of experience in Snowflake Data Warehouse is essential for this role. Candidates are expected to possess a strong understanding of data modeling and database design principles. Proficiency with ETL tools and various data integration techniques is required.

Familiarity with cloud data platforms and services is highly beneficial. A solid knowledge of data governance and data quality best practices will be advantageous. This role requires a foundational educational background of 15 years of full-time education.