DAC Data Technology Vietnam

Hong Kong Tower, 243A De La Thanh, Hà Nội

Company Size : 25-99

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Job Summary

25-99

Product

Việt Nam

Java Developer

DAC Data Technology Vietnam

Đống Đa, Hà Nội

  • English
  • Experienced (Non-Manager)
  • Full Time
  • 500 - 2000 USD
  • Posted:23/06/2022
  • 1

Job description

Overview of job

  • Bring data, implement bidding to about 50 media including Google, Yahoo, etc. via API: Google (GKT, GDN), Yahoo (YDN, YSS), etc.
  • Download report (3TB big data) from media API (SOAP, REST) daily, hourly and save to Data Warehouse
  • From the big data above, calculate and compute reports (statistics, predictions) for advertisers and directly to customers (report types can include CSV, Excel, Tableau (BI)), self-export 5000 reports per day.
  • Based on the client’s budget, create alerts if the prediction does not achieve the required KPI.
  • Important keyword: Big data (3TB Big Query volume, 300 million keywords), big impact (advertising costs: 100 million USD / month), AdTech, BI, AI

Career path improvement

  • Work, learn and develop with young and talented colleagues who are passionate and have big vision
  • Challenge yourself with new technologies and hot tech trend in the world
  • Participate in training programs on technical skills, soft skills and working methods
  • Be advised and share about the career path and self-development.

Income

  • Salary: $500-$2000. Twice-a-year bonus
  • Performance review: Every January
  • Japanese allowance

Healthcare

  • Social insurance, health insurance, unemployment insurance under the insurance law.
  • Fully covered all types of insurance as prescribed. Annual health checkup at prestigious hospitals.
  • Women care regimen: Women physiological rest: 8 hours/month; Postpartum rest for female staff with children under 2 year-old: 1h/day

Company activities

  • Annual company trips, various exciting events at the most luxurious hotels twice a year
  • Japanese class
  • Weekly company sponsored happy hours
  • Working time: 8:00 – 17:00 (Monday – Friday), Days Off: Saturday – Sunday and holidays, Tet in accordance with Vietnam Labor Law
  • Casual dress code (JSS – Jeans, shorts, and sandals welcome)

Job Requirement

Must have:

  • Having  experience in working with Java (Spring, Spring MVC, Spring Boot): over 01 year for Junior and over 03 year for Senior
  • Experienced with MySQL, SQL Server, Google BigQuery 
  • Experienced with SOAP, REST API 
  • Experienced in working with Linux, Shell scripts
  • Proficient in using Git

Nice to have:

  • Logical thinking is good, love working with big systems, especially Big data
  • Experienced with Google Cloud Platform (GCP: GCE, GAE, GKE, PubSub, Cloud Function,…) for Senior
  • Prefer if you have experience working with Elasticsearch
  • Ability to self-search, study specialized documents in English or Japanese
  • Ability to work in a team as well as work independently
  • Can work under high pressure on deadlines as well as product quality
  • Ability to be well and proactive in work, has a high sense of responsibility to complete the assigned work.

Languages

  • English

    Speaking: Intermediate - Reading: Intermediate - Writing: Intermediate

  • Japanese

    Speaking: Intermediate - Reading: Intermediate - Writing: Intermediate

Technical Skill

  • Java
  • Spring
  • SpringMVC
  • Linux
  • MySQL
  • REST
  • Git
  • SOAP
  • Shell Script
  • MS SQL
  • Elasticsearch
  • Big Data
  • Spring Boot
  • GCP
  • GCE
  • GKE

COMPETENCES

  • Logical Thinking
  • Teamwork
  • Working Independently
  • Proactive
  • Responsible

BUSINESS PROFILE

DAC Data Technology Vietnam is a leading company in big data and AI.

DAC Data Technology Vietnam is a subsidiary of DAC – a leader in the online advertising industry in Japan.

Our main business content is product development & data science.

In product development, we have provided consulting services and developing services over a wide range of technology products in the field of advertising (Ad_Tech).

In the data business, we not only analyze data but also combine them together to add more value for the customers. 

With a team of experienced engineers, we bring more and more business efficiency to customers.