Data Engineer, Digital Shelf Team
Cube Asia
full-time
Posted on:
Location Type: Hybrid
Location: Bangkok • Thailand
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About the role
- Support and maintain existing data pipelines and reporting workflows used for daily operations.
- Implement and monitor data quality checks, validations, and anomaly detection.
- Contribute to building and maintaining scheduled ETL / data processing pipelines to support analytics and client databases (e.g. via orchestration tools, Airflow or similar).
- Use Python and SQL to clean, transform, and manage data from multiple sources.
- Collaborate with cross-functional teams to understand data requirements and support new analytical or operational initiatives.
- Contribute to documentation, standardization, and continuous improvement of data processes and workflows.
Requirements
- Bachelor’s degree or equivalent experience in a quantitative or technical field (Statistics, Mathematics, Computer Science, Engineering, or similar).
- Solid understanding of data pipelines, ETL concepts, and data quality management.
- Familiarity with cloud data storage or data platforms (e.g., AWS S3 or similar).
- Strong proficiency in Python and SQL for data processing and analysis.
- Strong analytical thinking with attention to data accuracy and consistency.
- Ability to work cross-functionally and adapt to different task types and projects.
- Proactive, reliable, and able to take ownership of recurring data processes.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
PythonSQLETLdata processingdata quality managementdata cleaningdata transformationanomaly detectiondata pipelinesdata workflows
Soft Skills
analytical thinkingattention to detailcross-functional collaborationadaptabilityproactivityreliabilityownershipcommunicationproblem-solvingcontinuous improvement