Join our team as a Data Engineer, where you will design, develop, and maintain sophisticated data solutions. Your role will be pivotal in managing data generation, collection, and processing, creating robust data pipelines, and ensuring exceptional data quality. This position involves implementing ETL processes for seamless data migration and deployment across systems, contributing to overall data infrastructure excellence.

This opportunity offers the chance to become a subject matter expert and actively contribute to team discussions and problem-solving. You will collaborate with cross-functional teams to understand data needs and deliver scalable, high-performance solutions. The role also includes monitoring and optimizing data workflows for enhanced reliability and performance, as well as documenting processes and maintaining clear communication.

- Design, develop, and maintain comprehensive data solutions for data generation, collection, and processing. - Create efficient and scalable data pipelines to support data integration and flow. - Ensure the highest standards of data quality, accuracy, and consistency. - Implement and optimize ETL (Extract, Transform, Load) processes for seamless data migration. - Collaborate with various teams to understand data requirements and deliver effective solutions. - Monitor and enhance data workflows for improved performance and reliability. - Document architectural designs and process flows, and communicate status updates.

- Minimum of 2-5 years of professional experience in data engineering. - Proven expertise in Snowflake Data Warehouse is essential. - Strong experience in designing and implementing ETL processes. - Demonstrated ability in data pipeline development and maintenance. - Proficiency in data quality assurance techniques and troubleshooting data-related issues. - Familiarity with cloud-based data storage and processing environments. - Excellent communication and collaboration skills. - A strong foundation from 15 years of full-time education is required.