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SHOPLINE

Total e-commerce platform with social tools

Data Engineer

Data EngineeringConfirmed live in the last 24 hours
Full-timeSingaporeNo salary listedIn-person

About the Job

Requirements

  • At least 5 years of experience as a data engineer.
  • A bachelor's or advanced degree in Computer Science.
  • A proven track record in data warehousing.
  • Strength in data modeling, development, and governance.
  • Expert skills in SQL and Python.
  • Familiarity with big data technologies and solutions such as Spark, Hadoop, and Hive.
  • Success communicating across functions and synthesizing resources to advance projects in a dynamic environment.

Responsibilities

  • Collect, design, store, and process payments data in the eCommerce business.
  • Unify and standardize data to create holistic business digital assets.
  • Play a leading role in constructing business evaluation metrics, developing tactics in data services, and creating data-driven tools aligned with Products and Operations objectives.
  • Define underlying business data requirements.
  • Build fitted models to enhance data quality and stability.
  • Standardize and maintain data integrity to provide efficient access to data.

Desired Qualifications

  • Experience building ETL pipelines.
  • A background in Machine Learning.
  • Experience in technology firms, especially in the payments industry.

About the Company

SHOPLINE

Total e-commerce platform with social tools

SHOPLINE offers a comprehensive commerce platform in Asia that handles store setup, customizable themes, and multi‑channel selling. It includes social commerce tools such as Livestream, Chatbot, and a Message/Broadcast Center to turn social followers into customers, along with strong support services. Revenue comes from subscriptions, premium features, and customized solutions, with over 350,000 brands on the platform. Its goal is to help brands grow sales across social and e‑commerce channels and build lasting customer relationships through a single, unified dashboard.

Company size
501-1,000
Company stage
Early VC
Total funding
$1.2M
Headquarters
Sham Shui Po District, Hong Kong
Founded
2013

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