Data Engineer

- Strategically explore and obtain data and information from various sources within the ecosystem and external partners into VNPAY’s core platform

- Strategically explore and obtain data and information from various sources within the ecosystem and external partners into VNPAY’s core platform

- Ensure data assets are organized and stored most efficiently for mining purposes

- Design, build and maintain optimized data pipelines and ETL/ELT solutions as business support tools in providing analysis and real-time analytics platform for critical decision making.

- Proactively collaborate with data users to understand data requirements, build and deploy optimized data solutions

- Evaluate current complex data architecture in the organization and identify mandatory improvements

- Define strategies for data infrastructure to fulfill data analytic and utilization needs of the organization

- Manage and drive the upgrades to systems and storage to accommodate business and product requirements for data operations

- Design and deliver data infrastructure and functionalities with the most suitable technologies for data analysts, data scientists, and other business roles to monetize data and fulfill the strategy of VNPAY

- Good at 1 of these 3 programming languages: Java, Scala, Python

- Worked with bigdata eco-system: Hadoop, Spark, Kafka, Nifi, Airflow, Flink, Kafka, Hive, Delta Lake

- Worked with NOSQL databases: Mongo, Redis and SQL databases: oracle, Postgres

- Worked with Docker, Kubernetes, Google Bigquery, Cassandra is a plus

- Basic knowledge of searching and sorting algorithms.

- Deep experiences in optimizing ETL tasks, designing and building dimensional data models

- Understanding of Information Security principles to ensure compliantly

- Experience working in Agile teams to lead successful innovative projects with a cross-functional team

- Experience architecting, coding, and delivering high-performance microservices and/or delivering solutions serving millions of users

- Workded with HyperLogLog algorithm is a plus

- Negotiable salary according to qualification + Performance Bonus

- Free breakfast, Lunch allowance, Beauty allowance

- Performance review each year and salary adjustment based on job performance

- Healthcare: Annual health check-up, Premium Health Insurance for Employee and Family

- Comfortable working conditions

- Good career growth opportunities with interesting and challenging projects;

- Outdoor activities with company support: sports clubs, team building, year end party

- Time work: Mon - Fri (8:30 - 17:30)

We will contact with suitable CVs within 07 working days from the date of application