Senior Data Engineer: PySpark, AWS ETL & Data Lakes
Data engineer on the Hong Kong Jockey Club's AOP programme, designing and operating scalable ETL/ELT pipelines with PySpark and SQL on AWS, building a cloud data lake, and delivering real-time streams and analytics with compliant data governance across on-prem and cloud.
- Compensation
- Not disclosed
- Location
- Hong Kong, Hong Kong
- Work setup
- Not specified
- Seniority
- Senior
- Employment
- Not specified
- Experience
- Not specified
- Category
- Data engineering
- Posted
Skills
Must have
- Experience as a Data Engineer
- PySpark
- SQL
- AWS
- Design, build, and operate scalable ETL/ELT data pipelines
- Implement a cloud data lake
- Optimise data flows for performance and cost
- Deliver real-time data streams
- Compliant data governance across on-prem and cloud
- Work with business users and product owners to deliver analytics capabilities
Full description
The Hong Kong Jockey Club is seeking an experienced Data Engineer to shape the organisation's digital future within the AOP programme. You will design, build, and operate scalable ETL/ELT data pipelines using PySpark and SQL on AWS, implement a cloud data lake, and optimise data flows for performance and cost.
You will work with business users and product owners to ensure the delivery of reliable analytics capabilities, real-time data streams, and compliant data governance across on-prem and