Join our team as a Data Engineer, a pivotal role focused on architecting, building, and maintaining robust data infrastructure. You will be instrumental in creating sophisticated data solutions that drive efficient data generation, collection, and processing.

Your core responsibilities will include developing streamlined data pipelines, ensuring the highest standards of data quality, and implementing effective ETL processes for seamless data migration and deployment across diverse systems. This position offers a dynamic environment where innovation in data management is key to supporting business intelligence and organizational objectives.

Design, develop, and maintain comprehensive data solutions for data generation, collection, and processing. Create efficient and scalable data pipelines, ensuring data integrity and quality throughout the lifecycle. Implement ETL (Extract, Transform, Load) processes for data migration and deployment across systems. Collaborate with cross-functional teams to understand and fulfill data requirements. Monitor and optimize data pipelines for performance, scalability, and reliability. Document data processes and workflows for knowledge sharing and team support. Actively contribute to team discussions and problem-solving initiatives, aiming to become a subject matter expert.

A minimum of 2-5 years of professional experience in data engineering. Must possess strong proficiency in Snowflake Data Warehouse. Demonstrated experience in designing and implementing scalable data pipelines and ETL processes. A solid understanding of data modeling principles and data warehousing best practices. Familiarity with cloud-based data storage and processing solutions is highly valued. Ability to effectively troubleshoot and resolve data quality and integration challenges. Knowledge of relevant scripting and programming languages for data engineering tasks. A 15-year full-time education is a prerequisite for this role.