Data Engineer

KiotViet wishes to transfer a massive power of technology to every business model in Vietnam and Southeast Asia through our simple and effective solutions. We're committed to creating efficient, convenient products for micro, small, and medium-sized businesses. In over 10 years, with a current team of 1500+, we recognize that our members are the core of KiotViet today and the key to building a better KiotViet in the future.
We are seeking a Data Engineer to join our Data Intelligence Platform team. Joining our team, you will have a chance to design, develop and maintain high-performance Data Platform solutions and build high-performance, mission critical Data products to help find out valuable insights and deliver high quality data products that support our business growth and help our customers success in business. We appreciate you taking the time to review the list of responsibilities and qualifications to apply for the position.
What you will do:
- Design the architecture, implement and maintain the data pipelines that are scalable and reliable for KiotViet Data Platform.
- Design, implement and manage data warehouse, data marts that store and manage large volumes of data to meet the need of querying data and perform descriptive and predictive analytics.
- Collect, process, store and analyze our ever-growing customer data.
- Ensure data quality and consistency of the data that is being stored and processed.
- Developing data processing and transformation pipelines to convert raw data into a usable format.
- Setting up monitoring and logging systems to track data pipeline performance, detect errors and issues, and troubleshoot problems.
- Collaborating with Data Scientists and Data Analysts to understand their data needs and requirements, and to ensure that data is available and accessible in the right format and at the right time.
- Build high-performance, mission critical Data products to allow various customer-facing and internal services to query data, perform analytics.
- Brainstorm, discuss with various experts from other departments to develop Data products that serve various customer-facing problems and how data will help push our business further.