Data Engineer
Salary undisclosed
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Responsibilities:
- Work with large and complex transaction datasets, solve difficult, non-routine analysis problems.
- Develop data processing pipelines for data modelling, analysis, and reporting from large and complex transaction datasets.
- Build BI dashboards with Tableau and internal BI tools for data insights and business support.
- Create deep understanding of various products, advocating for changes where needed for product development.
- Research and develop models to extract user transaction features.
- Work with business users and data platform team for requirement gathering and process collaboration.
Requirements:
- At least Bachelor’s Degree in Computer Science, Applied Math, Statistics, or related technical field.
- Minimum 2 years of working experience in data analysis/data warehouse/mart development or BI reporting.
- Good understanding of Python, SQL, HiveQL/SparkSQL and the relevant best practices/techniques for performance tuning.
- Working experience in building BI dashboards with Tableau and other BI tools.
- Strong analytical and technical skills in building batch/streaming data pipelines for big data.
- Able to communicate in both English and Chinese for requirement gathering and analysis.
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