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