Data Operations & Development Engineer

数据运维开发工程师（财险监管报送）

Main function of job:

• Responsible for data operations and development related to property insurance, ensuring data quality and security.
• Participate in the development and maintenance of regulatory reporting systems, supporting daily regulatory data reporting needs.
• Interface with the EAST system and Policy Registration Platform, handling data extraction, transformation, loading (ETL), and reporting.

Main job responsibilities:

• Monitor data anomalies, analyze issues, and troubleshoot problems encountered during the data reporting process.
• Optimize and improve reporting processes to enhance efficiency and automation.
• Collaborate with business, compliance, and other relevant departments to meet both regulatory and internal data reporting requirements.
• Prepare and maintain related technical documentation and operation manuals, supporting knowledge sharing within the team.

Your Skills and Experience

• Bachelor Degree or above in Computer Science or related discipline is preferred
• Minimum of 5 years of experience as an Automation Test Engineer.
• Understanding of regulatory data reporting policies, procedures, and compliance requirements.
• Practical experience interfacing with the EAST system and Policy Registration Platform for data reporting.
• Proficient in SQL and mainstream databases (such as Oracle, MySQL, etc.), with skills in data modeling and ETL development.
• Familiar with scripting languages such as Python and Shell, with experience in automating operations and development tasks.
• Strong communication and teamwork skills, with a sense of responsibility and attention to detail..

岗位概述：

1. 负责与财产保险相关的数据操作和开发，确保数据质量和安全。
2. 参与监管报告系统的开发和维护，支持日常监管数据报告需求。
3. 与EAST系统和保单登记平台对接，处理数据提取、转换、加载（ETL）和报送。

岗位职责：

1. 监控数据异常，分析问题并排除数据报告过程中遇到的故障。
2. 优化和改进报告过程，以提高效率和自动化。
3. 与业务、合规及其他相关部门合作，以符合监管和内部数据报告需求。
4. 准备和维护相关技术文档和操作手册，支持团队内部的知识共享。

岗位要求：

1. 计算机或相关专业本科及以上学位。
2. 5年以上自动化测试工程师经验。
3. 熟悉监管数据报告的政策、程序和合规要求。
4. 具有与EAST系统和政策注册平台对接进行数据报告的实际经验。
5. 精通SQL和主流数据库（如Oracle、MySQL等），具备数据建模和ETL开发技能。
6. 熟悉Python和Shell等脚本语言，具有自动化操作和开发任务的经验。
7. 具有较强的沟通和团队合作能力，责任心强，注重细节。