As a Data Engineer, you will design, develop, and maintain robust data solutions for data generation, collection, and processing. This role involves building efficient data pipelines, ensuring high data quality, and implementing ETL processes for seamless data migration across systems.

You'll be responsible for creating and optimizing data workflows to enhance performance and reliability, contributing to the organization's data infrastructure and analytics capabilities. Collaboration with cross-functional teams to understand data needs and deliver scalable solutions is a key aspect of this position.

- Design, develop, and maintain data generation, collection, and processing solutions. - Create and optimize data pipelines and ETL processes. - Ensure data quality and integrity across systems. - Collaborate with teams to deliver scalable data solutions. - Monitor and optimize data workflows for performance and reliability. - Mentor and guide junior team members.

- Minimum 3 years of experience in Data Engineering. - Proficiency in Data Engineering, including designing and implementing data pipelines and ETL processes. - Strong knowledge of data storage solutions and database management. - Familiarity with data quality assurance and validation techniques. - Experience working with large datasets and optimizing data processing workflows. - Understanding of cloud-based data platforms and distributed computing is beneficial. - A minimum of 15 years of full-time education is required.