Data Engineer (ETL/ BI)- Around 30-40k

Location: Hong Kong, Hong Kong
Contract Type: Permanent
Specialisation: Technology
Salary: Negotiable
REF: BBBH213905_1546585210


  • Design, test and integrate data flow between cloud and Enterprise Data Warehouse
  • Develop and maintain complex cloud ETL processes originating from multiple data sources
  • Participate in architectural discussions to ensure solutions are designed for successful cloud and DHW deployment
  • Develop, manage and maintain data staging areas and data models to meet new and changing business requirements
  • Facilitate cross team and cross-component collaboration, including Business Owners, Analysts & other IT teams, to share and acquire development ideas and knowledge
  • Create efficient queries to analyze data from external applications and the data warehouse
  • Evaluate and recommend products that enhance our BI/DW solution


  • Bachelor's degree in a computer related field (Computer Information Systems, Computer Science, Information Technology etc.), Business Analytics, Statistics or E-Commerce or an equivalent combination of education and experience
  • 3-5 years of experience with Business Intelligence and Enterprise Data Warehouse
  • 3-5 years of data management experience on Oracle, MongoDB, Hadoop and data integration such as Pentaho, Informatica, DataStage
  • Experience with Hadoop ecosystem technologies HDFS, Spark, Sqoop, Storm, Oozie, YARN, Flume, and Zookeeper is highly preferred
  • Experience with AWS S3, Redshift, EMR or Azure/Google cloud platform is highly preferred
  • Experience with cloud integration Eg. data synchronization between cloud and on-premises environments is highly preferred
  • Experience with Python, Scala, and Java is very beneficial * Experience with the Linux operating system is very beneficial
  • Experience parsing JSONs is very beneficial * QlikView or other data visualization/data mining experience is beneficial
  • SAS or other BI application experience involving the development of dimensions and measures is beneficial
  • Knowledge of IT best-operating practices and methodologies
  • Good command in both spoken and written Chinese and English

Contact Ms. Alexandra Leung at (852) 3103 4312 or APPLY NOW by clicking the button below.

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