As a Data Engineer, you will be instrumental in designing, developing, and maintaining robust data solutions to support data generation, collection, and processing. This role focuses on creating efficient data pipelines, ensuring data integrity, and implementing ETL processes for seamless data migration and deployment across systems. Your contributions will be vital in enabling effective data flow and accessibility throughout the organization.

You will collaborate with various teams to align data strategies and resolve data-related challenges, playing a key part in the daily operational success of data initiatives. This position offers an opportunity to become a subject matter expert and contribute significantly to team discussions and problem-solving.

- Design, develop, and maintain data solutions for data generation, collection, and processing. - Create and optimize data pipelines, ensuring high data quality and reliability. - Implement ETL processes for efficient data migration and deployment across systems. - Collaborate with cross-functional teams to understand and meet data requirements. - Monitor and fine-tune data workflows for improved performance. - Document data processes and maintain clear team communication. - Provide technical guidance and support to junior team members.

- Minimum 2-5 years of experience in data engineering. - Proficiency in R-Studio is a mandatory requirement. - Strong experience in designing and implementing data pipelines and ETL processes. - Ability to ensure data quality through validation and cleansing techniques. - Familiarity with data storage solutions and data migration strategies. - Experience in troubleshooting and resolving data processing issues. - Good understanding of data architecture and integration concepts. - A 15-year full-time education is required.