Kiotviet.vn HN

Overview of job

- 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.

- Compensation, a 13th month salary depending on employee’s performance
- Performance bonus (up to 2-month salary)
- Work from Monday to Friday with flexible working hours
- Social – Health – Insurance paid fully. Healthcare: Annual health check-up, Premium Health Insurance ( from level senior according to the company's regulations)
- Advantageous and yield benefits, other benefits such as holiday vacations, benefits for employee’s relatives
- Unlimited chance of being promoted based on employee’s performance

- At least 4 years of experience as a Data Engineer
- You must be strong in Data structures
- You must be proficiency in SQL
- You must have knowledge and experienced in Data modeling, Data processing model like ETL and/or ELT
- You should be experienced in development and maintainance Data warehouse, Data lake and/or Data lakehouse
- You should be experienced in building Data pipelines, including data ingestion, data transformation, moving data between storages
- Experience in Data Mining projects is a plus