Job Summary
- Technical Skill:
- Big Data ,
- AWS ,
- CI ,
- Domain ,
- MongoDB ,
- NoSQL ,
- RDBMS ,
- GCP ,
- Looker Studio ,
- Amplitude ,
- Segment ,
- Google Tag Manager
Job description
Overview of job
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)
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, overseas 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;
Job Requirement
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.
Languages
-
English
Speaking: Intermediate - Reading: Intermediate - Writing: Intermediate
-
Korean
Speaking: Intermediate - Reading: Intermediate - Writing: Intermediate
Technical Skill
- Big Data
- AWS
- CI
- Domain
- MongoDB
- NoSQL
- RDBMS
- GCP
- Looker Studio
- Amplitude
- Segment
- Google Tag Manager
COMPETENCES
- Analytic Skills
- Communication Skills
- Problem Solving Skills
- Result-oriented
- Responsible