As a Data Engineer, you will be instrumental in designing, developing, and maintaining sophisticated data solutions. Your expertise will drive the generation, collection, and processing of data, ensuring robust data pipelines and high standards of data quality.

This role involves implementing efficient ETL (extract, transform, and load) processes for seamless data migration and deployment across diverse systems. You will contribute to building a reliable and scalable data infrastructure.

You are expected to work independently, becoming a subject matter expert, and actively contribute to team discussions and problem-solving initiatives. Collaboration with cross-functional teams to understand data requirements and deliver effective solutions is key.

- Design, develop, and maintain data solutions for data generation, collection, and processing. - Create and optimize data pipelines to ensure smooth data flow and high quality. - Implement ETL processes for data migration and deployment across systems. - Monitor and enhance pipeline performance and reliability. - Document data processes and workflows. - Collaborate with teams to define data requirements and deliver solutions. - Troubleshoot and resolve data-related issues efficiently.

- Minimum 3 years of experience with Snowflake Data Warehouse. - Proficiency in Snowflake Data Warehouse is essential. - Experience with Data Build Tool is advantageous. - Strong understanding of data modeling concepts within cloud platforms. - Experience in designing and implementing scalable ETL pipelines. - Familiarity with data quality frameworks and techniques. - Ability to troubleshoot and resolve data issues in dynamic environments. - A 15-year full-time education is required.