As a Data Engineer, you will craft and maintain sophisticated data solutions to support data generation, collection, and processing. Your expertise will be crucial in developing efficient data pipelines, ensuring data integrity, and implementing robust ETL processes for seamless data migration and deployment across systems.

This role demands a proactive approach to managing data infrastructure and fostering collaboration within teams to meet organizational data objectives. You will be instrumental in driving data-driven initiatives and optimizing our data landscape.

Design, develop, and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL processes. Monitor and optimize data workflows for enhanced performance and reliability. Collaborate with cross-functional teams to understand data needs and deliver scalable solutions. Document data processes and maintain clear team communication. Share knowledge and provide guidance to junior team members on best practices.

A minimum of 3 years of hands-on experience with Snowflake Data Warehouse is essential. Proven experience in Data Engineering and ETL process design. Strong understanding of data pipeline architecture and data management principles. Ability to troubleshoot and resolve data-related issues efficiently. Familiarity with cloud-based data storage and processing platforms is a plus. Requires 15 years of full-time education.