(+66) 2-234-9999 45/1 Silom 19 Building, 7th Floor, Soi Silom 19, Silom Road, Silom, Bangrak, Bangkok 10500 Thailand Mon - Fri 9.30 - 17.30. Saturday and Sunday CLOSED

Data Engineer (Java)

  • ตำแหน่งที่ตั้ง:
  • เงินเดือน:
    ต่อรองได้ / Monthly
  • ประเภทงาน:
  • โพสต์เมื่อ:
    2 เดือน ที่แล้ว
  • หมวดหมู่:
    Digital Innovation & IT
  • สิ้นสุดเมื่อ:
    ธันวาคม 31, 2020
  • ตำแหน่งงาน:
  • ภาษา:
    English, ไทย

Central Tech is subsidiary of Central Group which is well-known as the biggest retail in Thailand. Our job is to build the best technology team that will make Central Group a leading player in online e-tailing worldwide.

We scout and search out for the best talent to help us develop the infrastructure and platform to improve the quality of life of people by allowing access to quality products and services from Central Group anywhere anytime as it should be number one retailer in Thailand.

What you will be doing:

  • Build data platforms the empowers Data Science, Business Intelligence and Backend Microservices.
  • Develop tools to enable adoption and scale complex distributed systems like Kafka, Elasticsearch & Redis across all platforms
  • Manage complex distributed systems like Kafka, Elasticsearch & Redis in container environment like Kubernetes
  • Build fault tolerant data pipelines on Spark Streaming, Kafka Streams and Kafka Connect
  • Write Spark jobs that refresh Data Science models and Data Warehouse
  • Orchestrate data pipelines using Airflow or Argo
  • Develop Data Science Microservices that can run in Service Mesh environment
  • Participate in hiring process & choose your team members to fill positions with best candidates.

What we require:

  • Experience in building fault tolerant, self-healing, adaptive and highly accurate data computational pipelines.
  • Ability to develop micro services that can work with Event Driven Architecture and Container Orchestration system
  • Strong background in Algorithms, Software Design Patterns & Micro-services.
  • Proven experience in one of the following: Kafka, Spark, Istio/Linkerd or Redshift/Vertica.
  • Willingness to learn new technologies.
  • Knowledge (or willingness) to learn best practices about Kubernetes.

What we offer:

  • Flexible Working Time
  • Free-Flow Snacks & Drinks
  • Monthly Team Building Budget
  • Monthly Lunch Allowance
  • Get Special Bonus for recommending your friends
  • Taking your birthday off
  • Free gym
  • Free Udemy online training
  • Tech Talk & Pizza Friday
  • Annual Outing & Christmas Party
  • Project Success Celebration
  • Career roadmap for all staffs showing how you can progress.

More About Us