Data Engineer

Reju Technology Consulting; Hong Kong; On-site; HKD 360,000 - 600,000; Full time

Job summary

Reju Technology Consulting in Hong Kong seeks a data operations professional to manage end-to-end data incident management, monitor data pipelines, and support data governance initiatives.

The role involves collaborating with data custodians, business users and vendors, handling data migration tasks, validating data integrity, and maintaining operation manuals.

Candidates should have a degree in IT or related fields and 3–5 years of experience in data engineering or production support.

Qualifications

• 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.

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, elevate 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.

Skills

SQL

Incident management

Data pipelines

Data governance

Stakeholder communication

Education

Bachelor's degree in Computer Science/IT or related

Tools

ETL/ELT tools

Data integration frameworks

Cloud data technologies

Job description

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, elevate 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