The Data Engineer role focuses on designing, developing, and maintaining sophisticated data solutions that streamline data generation, collection, and processing. This involves constructing efficient data pipelines, upholding stringent data quality standards, and implementing robust ETL processes for seamless data migration and deployment across diverse systems. The position also emphasizes proactive collaboration with various teams to enhance data management strategies and fulfill organizational data requirements.

Independently perform tasks and evolve into a subject matter expert. Actively participate in team discussions and contribute to problem-solving. Collaborate with cross-functional teams to define data needs and deliver scalable data solutions. Monitor and troubleshoot data pipelines to ensure optimal reliability and performance. Document data processes and workflows to promote clarity and knowledge sharing. Provide guidance and support to junior team members on data engineering concepts and best practices.

A minimum of 3 years of experience specifically with Snowflake Data Warehouse is mandatory. Proficiency in designing and optimizing data pipelines for large-scale data processing is essential. Strong understanding of data integration techniques and ETL processes is required. Familiarity with cloud-based data storage and processing environments is expected. The ability to work with both structured and unstructured data to maintain data quality and consistency is crucial. A 15-year full-time education is a prerequisite for this role.