Mid/Senior Data Engineer

1. Data Engineering:

• Work closely with engineering teams to help to build data solutions for Baemin;
• Design, evaluate and implement framework, platform and architecture that can adequately handle the needs of a rapidly growing data driven company;
• Work with Data Scientist to design and build scalable / low latency AI-powered systems.
• Design and build both batch and real-time data pipelines for various data sources: API, flat files, databases, etc.;
• Build and maintain the data warehouse for the company;
• Improve and optimize the workloads, processes to ensure that performance levels can support continuous accurate, reliable, and timely delivery of data products;
• Prepare data for Data Science projects;
• Monitor and optimize the data infrastructure cost to keep it at the reasonable level.
• Remain up-to-date with industry standards and technological advancements to ensure the data infrastructure are both scalable and reliable;
• Work with other teams to continuously improve the company's data infrastructure, data warehouse;
• Coach junior team member;
• Provide suitable training for other teams.
• Periodic report to vertical stakeholders.
• Human resource management of data service team. (recruitment, growth, evaluation)

2. Managerial Tasks:

• Periodic report to vertical stakeholders.
• Team management of data service team. (recruitment, growth, evaluation)

Education:

A degree in Information Technology/ Information System or other related technical disciplines.

Experience:

• 3+ years of experience, preferably in big data infrastructure;
• Proficient in common big data toolset in a large-scale environment;
• Experienced in deploying ML models to production;
• Well versed in setting up continuous integration and deployment for big data or other projects;
• Familiar with software development process and culture;
• Familiar with 3rd party analytics solutions. (e.g. Amplitude, Looker, Segment, Google Tag Manager).

Skills/Knowledge:

• Cognitive knowledge of various topics in the data domain (e.g. platforms, analysis, ML, etc);
• Strong programming skill;
• Knowledge and experience in both relational database and NoSQL database (e.g. MongoDB);
• Knowledge and experience in cloud-base infrastructure (e.g. AWS, GCP);
• Excellent communication skill;
• Open mindset on learning, problem-solving;
• Good at speaking/writing in English;
• Korean speaking is PLUS (not mandatory).

Attitude:

• High learning agility;
• Result-oriented mindset;
• Adaptability and flexibility to the rapid changes of the business;
• High responsibility and diligence.

1/ Attractive salary & benefits

• 12 annual leave + 4 full-paid sick leave
• Year-end bonus, public holiday bonus, birthday bonus;
• Appraisal and salary review every year

2/ Macbook for employees

3/ Training Courses

• Personal training, internal training, oversea training in Korea.....

4/ Activities

• Company trip & Team building every year;
• Year End Party;
• Team building for Team/Dept every month;
• Clubs: TENNIS CLUB, MOVIE CLUB, FOOD LOVERS, LUNCH DAY,...

5/ Transportation: Taxi for working purpose

6/ Vouchers

7/ Opportunity to be trained & worked in a leading e-commerce company in Viet Nam;