This role focuses on designing, developing, and maintaining robust data solutions for data generation, collection, and processing. You will be instrumental in building efficient data pipelines, ensuring the highest data quality standards, and implementing sophisticated ETL processes for seamless data migration and deployment across diverse systems.

The position involves independent contribution and the development of expertise in data engineering. Active engagement in team discussions and collaborative problem-solving is expected. You will also play a role in mentoring junior team members and sharing technical knowledge.

- Design and develop comprehensive data solutions for data generation, collection, and processing. - Create and maintain efficient data pipelines, ensuring data integrity and quality. - Implement ETL processes for data migration and deployment across systems. - Collaborate with cross-functional teams to understand data requirements and deliver scalable solutions. - Monitor and optimize data workflows for improved performance and reliability. - Document data processes and maintain clear team communication.

- Minimum 3 years of experience in data engineering, with a strong focus on R-Studio. - Proven ability to design and implement data pipelines and ETL processes. - Experience in ensuring data quality through validation and cleansing techniques. - Familiarity with data storage solutions and data migration strategies. - Skill in troubleshooting and resolving data processing issues. - Solid understanding of data architecture and integration concepts. - A 15-year full-time education is required.