As a Data Engineer, you will design, develop, and maintain robust data solutions that drive data generation, collection, and processing. Your expertise will be crucial in building efficient data pipelines and ensuring data integrity across systems. You will implement ETL processes to facilitate seamless data migration and deployment, supporting our organization's analytical needs.

This role involves becoming a subject matter expert and actively contributing to team discussions and problem-solving. You will collaborate with cross-functional teams to understand requirements and deliver scalable data solutions, while also monitoring and optimizing data workflows for enhanced performance and reliability.

- Design, develop, and maintain comprehensive data solutions for data generation, collection, and processing. - Create and manage efficient data pipelines to ensure smooth data flow across systems. - Implement ETL (extract, transform, and load) processes for effective data migration and deployment. - Ensure data quality and integrity throughout the data lifecycle. - Collaborate with stakeholders to understand data requirements and deliver scalable solutions. - Monitor and optimize data workflows for improved performance and reliability. - Document data processes and maintain clear communication channels.

- Minimum 3 years of experience in Data Engineering is mandatory. - Proficiency in designing and implementing data pipelines and ETL processes. - Strong knowledge of data storage solutions and database management principles. - Familiarity with data quality assurance and validation techniques. - Ability to work with large datasets and optimize data processing workflows. - Understanding of cloud-based data platforms and distributed computing concepts is beneficial. - A 15-year full-time education is required.