Data Tech Lead/ Data Developer Lead

Requirements

• Bachelor's degree in Computer Science and Technology, or a related field.
• 5+ years of DBA work experience. Experience with consumer-facing (C-end) internet products, data architecture for millions of users, or similar domains is preferred. Rich experience in handling hundreds of millions of daily incremental data points is highly desired.
• Proficient in operating databases such as SQL Server and MySQL (experience with high-concurrency data processing systems is highly preferred).
• Highly proficient in OLAP and OLTP system development.
• Proficient in at least one Business Intelligence (BI) tool, with the ability to perform data integration, cleansing, and analysis effectively.
• Strong SQL writing and optimization skills, with practical experience in troubleshooting and performance tuning.
• Strong written communication, logical thinking, and data analysis skills; ability to independently analyze and solve complex problems.
• Detail-oriented, patient, calm, and responsible; possesses a passion for deeply researching data technologies, along with excellent communication skills and a strong team player attitude.

Additional Information

Job Responsibilities: Responsible for the construction, secure operation, maintenance, and development of core trading system databases and related foundational platforms. Responsible for database architecture design, maintenance, stored procedure development/debugging, ad-hoc queries, and other development tasks. Responsible for the development of database OLAP and OLTP systems. Analyze business requirements and collaborate with product teams to deliver data solutions that support product optimization and enhance user experience. Maintain database monitoring systems, identify and resolve data-level performance bottlenecks, optimize existing SQL queries, and provide recommendations for tuning problematic SQL. Handle troubleshooting and emergency responses; analyze and resolve database performance issues, debug stored procedures, and accurately locate root causes in a timely manner. Stay updated on the latest database technologies and tools, drive technical innovation and the adoption of best practices, and support data analysis and business decision-making.

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