As a Data Engineer, you will architect, build, and maintain robust data solutions. Your primary focus will be on enabling data generation, collection, and processing. This involves crafting efficient data pipelines, ensuring data integrity, and implementing ETL processes for seamless data migration and deployment across diverse systems. You'll collaborate with teams to align data architecture with business needs, ensuring scalability and reliability.

Your role entails taking ownership of data solutions, becoming a subject matter expert, and actively contributing to team discussions and problem-solving. You will collaborate with cross-functional teams to understand data needs, design effective pipelines, and monitor workflows for optimal performance. Documenting data processes for knowledge sharing and assisting junior team members with data engineering concepts are also key aspects of this position.

A minimum of 3 years of experience with Snowflake Data Warehouse is essential. Proficiency in designing and implementing ETL processes for data migration and integration is required. Strong knowledge of data modeling techniques, data quality frameworks, and performance optimization for data pipelines in cloud environments is expected. Familiarity with scripting and automation tools to streamline data processing is also beneficial. A 15-year full-time education is a prerequisite for this role.