Azure Databricks Data Engineer for Real-Time Analytics & ETL
Cloud data engineer building and optimizing scalable Azure-based data platforms (with Databricks): automating ETL/ELT workflows, enforcing data quality, and partnering with analysts to deliver near real-time Power BI analytics. Involves full project lifecycle work with external vendors, data modeling, and documentation.
- Compensation
- Not disclosed
- Location
- Hong Kong
- Work setup
- Not specified
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- Not specified
- Category
- Data engineering
- Posted
Skills
Must have
- Implement and optimize scalable Azure-based data platforms
- Automate ETL/ELT workflows
- Enforce data quality
- Deliver near real-time analytics and BI solutions using Power BI
- End-to-end project lifecycle involvement with external vendors
- Design data models
- Validate pipelines
- Produce playbooks and architecture documentation
Full description
Peoplebank Hong Kong Limited is seeking a cloud data platform engineer to lead the implementation and optimization of scalable Azure-based data platforms. You will automate ETL/ELT workflows, enforce data quality, and collaborate with analysts to deliver near real-time analytics and BI solutions using Power BI.
Responsibilities include end-to-end project lifecycle involvement with external vendors, designing data models, validating pipelines, and producing playbooks and architecture docs for