If you are interested in the job opening, please email [email protected] with your CV and specify the opening you are interested in.

Description

Hiring on behalf of Asia’s pre-eminent and one of the largest luxury lifestyle Group, with more than 400+ points of sale and millions of active luxury customers across Greater China, Southeast Asia, and online. Its companies are internationally recognised as benchmarks for retail innovation and creativity.

You will be working in the data lab.

Work Arrangements

Work hours: 9AM to 6PM
Workweek: Monday to Friday
Annual leaves: 12 days

WHAT YOU WILL BE DOING?

• Design, build, support and optimize new and existing data models and ETL processes
• Develop and support the data pipeline to integrate new data from various data sources with emerging data technologies
• Define and manage SLA for all data processes and own data quality issues
• Getting “first-hand” break to engineer data analytics platform which will include architectural design, infrastructure setup, and building data pipelines, integrate with data lakes and integrating data mining models into data pipelines
• Understand, brain-storm and integrate data from different internal as well as external platforms (including mobile event streams) to deliver data insights

YOU NEED TO BE…

• Bachelor's degree in computer science, information technology or relevant discipline
• Development experience in at least one scripting language (Python is preferred)
• Hands-on experience in RMDB, NoSQL and query performance tuning
• Hands-on experience in building data model for visualizations
• Hands-on experience of integrating big data technologies such as Hive, Presto, Spark, Kafka, HBase and Apache Ignite into traditional systems
• Hands-on experience in big data management platform implementation such as Informatica and Talend will be a plus
• Data architecture, data modelling, schema and ETL/ ELT workflow design skills
• Excellent communication skills and proven experience in leading data driven projects from definition through interpretation and execution
• Candidate with more experience will be considered as Senior Data Engineer