Data Engineer

About the role

This role involves executing end-to-end incident management for data-related production issues, monitoring daily operation of data pipelines, system interfaces, ETL/ELT processes, and identifying data quality anomalies and platform performance issues. You will handle high-priority BAU data incidents, participate in data migration projects, and support enterprise data governance work.

Key responsibilities

• Execute end-to-end incident management for data-related production issues, follow standardized processes to track and resolve data faults
• Monitor daily operation of data pipelines, system interfaces, ETL/ELT processes, identify data quality anomalies and platform performance issues
• Handle daily high-priority BAU data incidents, escalate complex critical incidents to supervisors in a timely manner with complete problem details
• Participate in root cause analysis (RCA) and assist in formulating preventive action plans to avoid recurring problems
• Collaborate closely with Data Custodians, business users, application support teams and vendors to troubleshoot and fix daily data issues efficiently
• Participate in data migration projects, responsible for specific execution work including data extraction, transformation, validation, data reconciliation and project cutover
• Execute data validation and reconciliation work during migration to guarantee data integrity and accuracy
• Implement daily data monitoring and control work, timely identify and fix potential data risks and recurring data problems
• Maintain and update operational documents, operation manuals, support processes and team knowledge base regularly
• Cooperate with data owners and data custodians to optimize data quality, data lineage and data stewardship related processes

About you

• Bachelor's Degree or above in Computer Science, Information Technology, Data Engineering, Data Science, Business Analytics, or a related discipline
• 3-5 years of working experience in Data Engineering, Data Operations, Production Support, Data Warehousing, or Enterprise Data Management
• Solid analytical thinking, problem-solving and independent judgment skills, able to efficiently handle daily data operation and fault problems
• Practical experience in supporting mission-critical data production environments and participating in end-to-end data incident management processes
• Hands-on experience in participating in data migration, data transformation and enterprise data integration projects
• Proficient in SQL with solid database query optimization and troubleshooting capabilities
• Hands-on experience with enterprise data platforms and mainstream cloud data technologies
• Practical working experience with mainstream ETL/ELT tools and data integration frameworks
• Fluency in both English and Mandarin/Cantonese (written and spoken)
• Good cross-departmental communication and stakeholder collaboration skills, able to cooperate with different teams to complete data work