Senior Data Engineer

• Responsible for the planning, deployment, monitoring, maintenance, performance optimization, and data compliance of the company's production databases.
• Formulate and implement standards for database changes, access controls, backups, routine inspections, and emergency response; establish and enforce data compliance protocols.
• Promptly identify and resolve database performance bottlenecks, operational anomalies, and production incidents.
• Collaborate with the R&D team on SQL reviews, query optimization, and the establishment of database usage guidelines.

• Bachelor’s degree or higher in Computer Science or a related field; possess 5+ years of relevant experience in database-related roles; proficient in technologies related to data development, operations, and governance.
• Familiar with database or caching systems such as MySQL and Redis; proficient in one or more SQL standards; familiar with database products from at least one major cloud platform (e.g., AWS, Google Cloud).
• Capable of database performance diagnosis and tuning; able to independently resolve issues such as slow queries, lock contention, master-slave replication lag, connection anomalies, and resource bottlenecks.
• Strong awareness of risk management and change control; exercises caution and adheres to standards when operating in production environments. Highly responsible with the ability to clearly resolve production incidents.
• Solid communication skills and ability to collaborate across teams; capable of clearly explaining complex technical issues and driving their resolution. Willing to undertake necessary on-call duties and emergency incident response.

For suitable candidates who are interested, please email your resume, expected salary range, notice period & portfolio (if any) to this email address:

Thank you for your time.

Skills

SQL Database, Monitoring Database Performance, Database Systems, SQL Programming, Data Backups, Modifying Databases, Issue Handling, Monitoring, Database Administration, implementing data protection, Query Performance, Production Procedures, Production Environment, Replication Server, Cloud Database, collaborate with external team, Deployment, Data Guard, Maintenance and Repair, Production Databases