Data Engineer (ETL)
Summary
Designs and builds ETL pipelines to move and transform data from multiple sources, then builds dashboards for analytics and reporting.
- Conduct user requirement analysis, ETL design and implementation support for Big Data and Analytic initiatives
- Study/Analyze source system data and design data model to support business user’s analytic and reporting requirements.
- Implement efficient data pipelines to transform data from multiple data sources (i.e. ETLs)
- Use visualization tools to design and build dynamic dashboards and reports
- Work closely with vendor / in-house Data Scientists and AI development team and facilitate the implementation
- Degree or equivalent qualification
- 3 years of working experience as a Data Engineer
- Solid skills in ETL, Data transformation and Data Modelling
- Advantage:
- Python and PL/SQL
- Visualization tool, e.g. Tableau, Google Data Studio, Adobe Analytics
- Cloud platforms would be an added advantage, e.g. AWS Redshift, Google Big Query
- Self-motivated and able to work independently
- Excellent interpersonal, written and verbal communications skills in both English and Chinese