This role focuses on building and maintaining robust data solutions. You will be instrumental in creating efficient data pipelines, ensuring high data quality, and implementing ETL processes for seamless data migration across systems. Your responsibilities will include collaborating with teams to understand data needs and optimize the data architecture for scalability and performance.

This position requires a proactive approach to problem-solving and a commitment to becoming a subject matter expert. Active participation in team discussions and contributing to solution development are key aspects of this role. You will also monitor and troubleshoot data workflows to ensure optimal performance and reliability, while documenting processes for knowledge sharing.

- Design, develop, and maintain data solutions for data generation, collection, and processing. - Create and optimize data pipelines for efficient data flow. - Ensure data integrity and quality throughout the data lifecycle. - Implement ETL processes for data migration and deployment. - Collaborate with cross-functional teams to define data requirements. - Monitor and troubleshoot data workflows. - Document data processes and workflows. - Provide guidance to junior team members on data engineering concepts.

- Minimum 3 years of experience with Snowflake Data Warehouse. - Proven experience in designing and implementing ETL processes. - Strong understanding of data modeling techniques and best practices. - Familiarity with data quality frameworks. - Ability to optimize data pipelines for performance and cost efficiency. - Experience with scripting and automation tools. - Completed 15 years of full-time education.