data warehouse engineer (etl) in Singapore

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job details

information technology
job type
working hours
s$ 4,500 - s$ 6,500 per month
reference number
sarah yang, randstad
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job description

about the company
Our client is a mobile internet company which has a strong record of developing a successful mobile application that has more than 500 million monthly active users across various countries. It is one of the largest software application known. With this success, they are embarking on a new project to develop another app that would take flight to compete against the bigger tech giants.

about the role

You will:

  • Design, build, maintain and optimize data pipeline architecture, data warehouse, and support data tables and ETL processes in production
  • Develop reports and data-driven solutions to support and automate operational tasks
  • Manage the delivery of high impact dashboards and data visualizations
  • Analyse the A/B experiment data, provide valuable suggestions and reports for the user based on data collected and analysed to optimise suggestions
  • Collaborate with product and engineering teams to understand needs and assist with data-related issues and deliver analytics reports

skills and experience required

  • More than 2 years of hands-on experience in data analysis, data warehousing, custom ETL design and implementation, data mining in an Internet company will be an advantage
  • Expert in writing complex SQL queries working with relational SQL and NoSQL, Hive, ElasticSearch and statistical languages such as SPSS, SAS, R
  • Experience with Python/ Bash scripting will be an advantage
  • Experience in using Big Data technologies such as Hadoop, Hive, Kafka, Flume, would be highly advantageous
  • Mandarin speaker is required to liaise with mandarin speaking stakeholders who are based in China and only speak mandarin

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)


ETL, SQL, Data Warehouse, Hadoop, Big Data, Data Visualisation



educational requirements

Bachelor Degree