Data Engineer

1. Develop, test, and maintain ETL (Extract, Transform, Load)

processes.

2. Collaborate with the product team to design, implement,

and maintain the data warehouse and data storage

systems.

3. Ensure data quality by cleaning, integrating, and validating

data.

4. Optimize data system performance to ensure efficiency

and data access speed.

5. Document the developed processes and systems for future

reference.

6. Identify and resolve data-related issues that arise in

day-to-day operations.

7. Prioritize improvements on currently used tools to achieve

cost efficiency for the organization.