This role focuses on designing, developing, and maintaining robust data solutions for data generation, collection, and processing. Key responsibilities include creating efficient data pipelines, ensuring high data quality, and implementing ETL processes for seamless data migration and deployment across various systems.

The Data Engineer will collaborate with diverse teams to optimize data handling and support critical business objectives, contributing to the overall data strategy.

- Design, develop, and maintain comprehensive data solutions for data generation, collection, and processing. - Create and optimize efficient data pipelines to ensure smooth data flow. - Implement ETL (extract, transform, load) processes for data migration and deployment. - Ensure data integrity and quality throughout the data lifecycle. - Collaborate with cross-functional teams to understand data requirements and deliver scalable solutions. - Monitor and troubleshoot data pipelines for continuous availability. - Document data processes and workflows for knowledge sharing.

- Minimum of 3 years of experience, specifically with Snowflake Data Warehouse. - Proven ability to design and optimize data pipelines for large-scale data processing. - Strong knowledge of data modeling and database design principles. - Familiarity with ETL tools and techniques. - Experience in ensuring data quality and implementing validation checks. - Experience with cloud-based data storage and processing environments is beneficial. - Must possess a 15-year full-time education.