A Data Engineer is essential for crafting, building, and sustaining robust data solutions that facilitate data generation, collection, and processing. This role involves the creation of effective data pipelines, ensuring data accuracy, and implementing ETL processes for seamless data migration and deployment across diverse systems.

The position demands proactive monitoring and optimization of data workflows to align with organizational objectives and ensure smooth data handling.

- Independently perform duties and develop expertise as a subject matter expert. - Actively participate and contribute to team discussions. - Provide effective solutions to work-related challenges. - Collaborate with cross-functional teams to understand data needs and deliver scalable solutions. - Monitor and resolve data pipeline issues to maintain data integrity and availability. - Document data processes and workflows to foster knowledge sharing and future improvements. - Support junior team members by offering guidance and assistance.

- Minimum 3 years of experience is mandatory, with a strong focus on Snowflake Data Warehouse. - Demonstrated proficiency in Snowflake Data Warehouse is a key requirement. - Experience with Data Build Tool is considered advantageous. - Possess a strong understanding of data modeling and database design principles applicable to data warehousing. - Proven experience in developing and optimizing ETL processes for large datasets. - Familiarity with cloud-based data storage and processing environments is beneficial. - Ability to analyze and resolve complex data issues to ensure high data quality and performance. - A full-time education spanning 15 years is required.