- Build and maintain data pipelines (ETL, ELT) to integrate data from various sources: APIs, databases, csv files, ...

- Testing and controlling input/output data to ensure the accuracy of data before providing it to end users

- Analyze requirements and work with stakeholders to prepare data for projects to build dashboards, business analysis

- Manage, operate, and optimize the performance of data infrastructure, limiting data access disruption

- Debug and troubleshoot data infrastructure

- Monitor data warehouse operations to ensure availability.

- Research and apply new technology to continuously improve data system performance.

- Graduated from University in Information Technology, Information Systems, Computer Science.

 

* Other certifications are preferred

- 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, FastAPI,...

- 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.