AVP, Data Engineer, CDO

Data Engineering Manager

Location: CN-Shenzhen-HyQ

Shift: Full time

Scheduled Weekly Hours: 40

Worker Type: Permanent

Job Summary:

Lead a high-performing data transformation POD of 8–10 engineers, driving delivery and technical excellence.

Collaborate closely with data analysts and business stakeholders to gather requirements and deliver scalable, reliable data solutions.

Design, build, and maintain robust data pipelines using SparkSQL and Python to process large-scale datasets efficiently.

Manage and optimize data storage and retrieval within the Hadoop Distributed File System (HDFS).

Utilize Trino to query and analyze data, supporting business intelligence and reporting needs.

Ensure data quality, integrity, and security across all systems and processes.

Monitor and fine-tune pipeline performance and query execution to ensure scalability and operational efficiency.

Troubleshoot and resolve data-related issues promptly to minimize business impact.

Manage production incidents and coordinate with the Site Reliability Engineering (SRE) Lead to oversee incident investigation and postmortem analysis.

Mandatory Skills and Qualifications:

Minimum 8 years of experience in data engineering with minimum 3 years of data engineering management role.

Strong expertise in SparkSQL for large-scale data processing and querying.

Proven hands-on experience with HDFS for distributed data storage and management.

Deep understanding of Trino for distributed SQL query 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, including both written and verbal communication skills.

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.

Company Introduction: ITD SZ