- Location
- Kowloon Bay, Kowloon
- Type
- Full-time
- Department
- Retail
- Experience
- 3+ years
- Closing date
- Today
- Source
- Vincere
Description
Responsibilities
-
Design, build, and maintain ETL/ELT data pipelines from multiple data sources.
-
Develop and support data warehouse, data-mart, and data-model solutions.
-
Build and optimise data-processing workflows using Databricks.
-
Ensure data quality, accuracy, and timely delivery for reporting and analytics.
-
Work closely with business users, analysts, and IT teams to deliver data solutions.
-
Support cloud-data migration, integration, and enhancement projects.
-
Troubleshoot data-pipeline and data-quality issues.
Requirements
-
Around 3 years of experience in data engineering, data integration, or related areas.
-
Solid experience in data warehouse development and ETL/ELT processes.
-
Hands-on experience with Databricks and strong SQL skills.
-
Exposure to Python, PySpark, or similar data-processing technologies is preferred.
-
Azure cloud experience is highly preferred, especially Azure Databricks, Azure Data Factory, Azure Data Lake, or Synapse.
-
Experience with Power BI, Qlik, or other BI/reporting tools is an advantage.
-
Good analytical, problem-solving, and communication skills.
-
Good command of English and Cantonese; Mandarin is a plus.