Data Engineer

1. Build and maintain data pipelines (ETL, ELT) to integrate data from various sources: APIs, databases, CSV files, ...
2. Testing and controlling input/output data to ensure the accuracy of data before providing it to end users
3. Analyze requirements and work with stakeholders to prepare data for projects to build dashboards, business analysis
4. Manage, operate, and optimize the performance of data infrastructure, limiting data access disruption
5. Debug and troubleshoot data infrastructure.
6. Monitor data warehouse operations to ensure availability.
7. Research and apply new technology to continuously improve data system performance.

● At least 1 year of experience using Python language, or knowing Java, Scala,...
● Experience with SQL, NoSQL and data architecture
● Experience with data pipeline and workflow tools: Airflow, Spark, Pentaho, etc.
● Ability to build and deploy APIs using frameworks such as Django, Flask, Fast API,...
● Experience working with Cloud Service such as: GCP, AWS,...
● Knowledge of Docker and working on Linux is an advantage
● Experience and knowledge of e-commerce is preferred.

1. Enjoy the Company's comprehensive health program
2. Holidays: 12 days of annual leave & statutory holidays
3. Bonus: Holiday, Tet, sales, ...
4. Giving gifts on: March 8 (women), April 6 (men), birthdays, ....
5. Allowances: marriage, bereavement, sickness, maternity, ...
6. Participate in annual activities: Year-end, New Year, Teambuilding, ...
7. Working time: 8am - 5pm, Monday - Friday