Data Engineer - Singapore

SHOPLINE; Singapore; On-site; SGD 80,000 - 120,000; Full time

Job summary

SHOPLINE in Singapore is seeking a Data Engineer with 5+ years of experience, proficient in SQL and Python. The successful candidate will be responsible for managing payments data, ensuring data quality, and creating evaluation metrics. Must have a strong background in data warehousing and familiarity with big data technologies. This position offers the opportunity to lead and innovate in the dynamic payments sector, contributing to the company's mission of providing scalable commerce solutions.

Qualifications

• 5+ years of experience as a data engineer.
• Proven track record in data warehousing.
• Demonstrated strength in data modeling, development, and governance.

Responsibilities

• Responsible for collecting, designing, storing, and processing payments data.
• Lead in constructing business evaluation metrics and developing data services.
• Define business data requirements and ensure data integrity.

Skills

SQL

Python

Data modeling

ETL pipelines

Big data technologies

Machine Learning

Education

Bachelor or advanced degree in Computer Science

Job description

SHOPLINE is Asia’s largest smart commerce platform. With our customers in mind, we strive to deliver scalable commerce solutions to merchants of all sizes. We’re a full-featured platform with services including online store opening, O2O solution, retail POS systems, advertising placement, business strategy consultation, marketing, and more to empower merchants to succeed in omnichannel retailing and cross-border commerce.

What you’ll be doing:

Responsible for collecting, designing, storing and processing payments data in the eCommerce business. In charge of unifying and standardizing 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 in alignment 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 an efficient way in accessing data.

Who we are looking for:

5+ years of experience as a data engineer with a bachelor or advanced in Computer Science. Proven track record in data warehousing.

Demonstrated strength in data modeling, development and governance. Preferred experience with building ETL pipelines.

Expert skills in SQL and Python. Familiarity with big data technologies and solutions (Spark, Hadoop, Hive, etc.). Nice to have a background in Machine Learning.

Proven success in communicating across different functions and synthesizing resources to push through projects in a dynamic environment.

Preferred experience in tech firms, especially in the payments industry.