This Data Engineer role focuses on the design, development, and ongoing maintenance of sophisticated data solutions. Responsibilities include creating robust data pipelines for data generation, collection, and processing.

The position emphasizes ensuring high data quality and implementing effective ETL (Extract, Transform, Load) processes for seamless data migration and deployment across various systems. Collaboration is key to optimizing data handling and meeting organizational data needs.

Independently perform tasks and develop expertise to become a subject matter expert. Actively participate and contribute to team discussions and problem-solving sessions. Provide innovative solutions to work-related challenges. Collaborate with cross-functional teams to understand data requirements and deliver scalable data solutions. Monitor and troubleshoot data pipelines to guarantee reliability and optimal performance. Document data processes and workflows for clarity and knowledge sharing. Support junior team members in understanding data engineering concepts and best practices.

A strong command of Snowflake Data Warehouse is essential for this role. Experience in designing and optimizing data pipelines for large-scale data processing is required. Demonstrated knowledge of data integration techniques and ETL processes is crucial. Familiarity with cloud-based data storage and processing environments is beneficial. Ability to work with both structured and unstructured data to maintain data quality and consistency is necessary. A minimum of 3 years of experience in Snowflake Data Warehouse is mandatory. A total of 15 years of full-time education is a prerequisite.