data engineer (e-commerce) in Singapore

sarah yang, randstad
job type
S$ 5,500 - S$ 10,000 per month
apply now

job details

information technology
job type
working hours
S$ 5,500 - S$ 10,000 per month
reference number
sarah yang, randstad
apply now

job description

about the company
Our client is a large internet company in APAC, with a leading e-commerce platform in SEA. They have more than 500 million monthly active users across various countries.

They are growing their team, looking for several self-motivated and talented Data Engineers who are able to source and develop data models to drive the analytics to improve their product and business operations

about the role
To be successful in this role, you will have to be an expert in data management especially in consumer data from any sources, data access, advanced in programming and database modeling.

  • Design, build, maintain and optimize data pipeline architecture, data warehouse, and support data tables and ETL processes in production
  • Collaborate with product and engineering teams to understand needs and assist with data-related issues and deliver analytics reports
  • Develop real-time and batch data ingesting and processing pipelines to be used for analysis, machine learning, dashboarding and visualization
  • Work closely with partner teams to establish the optimal technical solution to business problems
  • Monitor & manage data pipelines, ensuring accuracy and stability

skills and experience required

  • BS or MS in Computer Science/Engineering or equivalent
  • More than 2 years of real world data development experience, predominantly data mining in an Internet or consumer-market focused / e-commerce company.
  • Expert in writing complex SQL queries working with relational SQL and NoSQL
  • Understands database concepts and distributed / batch processing systems or real-time batch data ingestion will be advantageous
  • Deep technical skills in data warehousing, data modelling, ETL, PL/SQL
  • Experience with programming and understanding of algorithms
  • Experienced in large data sets building and refining models, and working on the piping / ingestion and processing of the data or big data (Hadoop/Hive)

To apply online please use the 'apply' function, alternatively you may send your CV to sarah.yang(@) or contact Sarah Yang at +65 6510 3633.

Referrals are greatly appreciated!

(EA: 94C3609/ R1657816)


no additional skills required


no additional qualifications required

educational requirements

Bachelor Degree