This role is for a Data Engineer focused on designing, developing, and maintaining robust data solutions. The primary objective is to support the generation, collection, and processing of data effectively. You will be instrumental in building sophisticated data pipelines, ensuring high data quality, and implementing comprehensive ETL processes for seamless data migration and deployment across diverse systems. Collaboration with various teams to understand data needs and optimize data architecture will be key to aligning solutions with organizational objectives and enhancing business intelligence capabilities.

Key responsibilities include independently driving tasks and becoming a subject matter expert (SME). Active participation in team discussions and contributing to problem-solving are expected. This role involves collaborating with cross-functional teams to gather and analyze data requirements, ensuring alignment with project goals. You will also monitor and optimize data pipelines for performance, scalability, and reliability, and document data processes for knowledge sharing. Mentoring junior team members will be an integral part of fostering team growth.

A strong proficiency in Snowflake Data Warehouse is essential. The ideal candidate will have experience in designing and implementing scalable data pipelines and ETL processes. A solid understanding of data modeling concepts and best practices for data warehousing is required. Familiarity with cloud-based data storage and processing solutions is beneficial. The ability to efficiently troubleshoot and resolve data quality and integration issues is crucial. Knowledge of scripting and programming languages commonly used in data engineering tasks is also expected.