AVP, Data Engineering, Chief Data Office

Hong Kong Exchanges And Clearing

Job Location:

Shenzhen - China

Monthly Salary: Not Disclosed

Posted on: 30+ days ago

Vacancies: 1 Vacancy

Job Summary

Location:

CN-Shenzhen-HyQ

Shift:

Scheduled Weekly Hours:

Worker Type:

Permanent

Job Summary:

The AVP under Data Engineering in the Chief Data Office is a critical role in designing and maintaining scalable data pipelines and infrastructure that support enterprise-wide analytics and reporting. You will collaborate closely with data analysts business stakeholders and the Site Reliability Engineering (SRE) team to ensure data integrity performance and availability. The ideal candidate will have deep expertise in SparkSQL Python HDFS and Trino with a strong foundation in data architecture and distributed computing.

Job Duties:

Job Duties

Lead a data transformation team of 68 engineers fostering delivery excellence and technical leadership
Collaborate with analysts and business stakeholders to gather requirements and deliver reliable data solutions
Design build and maintain scalable data pipelines using SparkSQL and Python
Manage and optimize data storage and retrieval within Hadoop Distributed File System (HDFS)
Utilize Trino for distributed SQL querying and business intelligence support
Ensure data quality integrity and security across all systems
Monitor and optimize pipeline performance and query execution conduct performance tuning and profiling
Troubleshoot and resolve data-related issues to minimize business impact
Manage production incidents and coordinate with the SRE Lead for incident investigation and postmortem analysis

Key Responsibilities

Drive technical excellence and delivery within the data engineering team
Architect and implement robust ETL pipelines and data models
Maintain high-performance scalable data infrastructure
Support business intelligence and reporting through efficient data access and transformation
Ensure operational reliability and collaborate on incident response

Requirements

Mandatory Skills and Qualifications

Minimum 8 years of experience in data engineering including 3 years in a leadership role
Strong expertise in SparkSQL for large-scale data processing
Proven hands-on experience with HDFS for distributed data management
Deep understanding of Trino for distributed SQL execution
Proficiency in Python for scripting automation and data manipulation
Solid grasp of ETL architecture data modeling and pipeline design
Familiarity with distributed computing principles and big data ecosystems
Basic proficiency in English and Mandarin (written and verbal)

Preferred Skills

Experience with Tableau for data visualization and dashboard development
Exposure to cloud platforms such as AWS or Huawei HCS
Knowledge of SQL performance tuning and query optimization techniques
Background in data governance data quality or metadata management
Experience with capital markets trading systems or investment workflows

Company Introduction:

ITD SZ

港交所科技深圳有限公司是2016年12月28日于深圳市前海自贸区成立的外商独资企业

作为港交所的技术子公司港交所科技深圳有限公司主要是为集团及其附属公司提供计算机软件计算机硬件信息系统云存储云计算物联网和计算机网络的开发技术服务技术咨询技术转让经济信息咨询企业管理咨询商务信息咨询商业信息咨询信息系统设计集成运行维护数据库管理大数据分析以承接服务外包方式提供系统应用管理和维护信息技术支持管理数据处理等信息技术和业务流程外包服务

Required Experience:

Chief

Location:CN-Shenzhen-HyQShift:Scheduled Weekly Hours:40Worker Type:PermanentJob Summary:The AVP under Data Engineering in the Chief Data Office is a critical role in designing and maintaining scalable data pipelines and infrastructure that support enterprise-wide analytics and reporting. You will co...