1 month ago
Chengdu, ChinaSenior
Responsibilities
- Lead the design and implementation of a regional common health data model and reusable data products.
- Build and deploy data engineering frameworks, pipelines, and reusable components integrating multiple data sources into target systems.
- Define engineering standards and oversee delivery, testing, deployment, monitoring, scalability, performance, and reliability.
- Provide hands-on technical leadership, issue escalation, code reviews, troubleshooting, performance tuning, and optimization.
- Integrate compliance, security, privacy, risk mitigation, governance, documentation, and audit trails into health data solutions.
- Collaborate with regional and local health teams, data offices, AI and analytics teams, and cross-functional technical teams.
- Share best practices, reusable assets, and technical insights through the Data Engineering Community of Practice.
Requirements
- Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related field.
- 10+ years of experience in one or more of data engineering, platform engineering, DevOps engineering, software engineering, or related work.
- Proficiency in distributed computing principles and Hadoop cluster operations, including troubleshooting ongoing cluster issues.
- Experience with Azure, Azure ADLS, Azure Data Factory, Databricks, Event Hubs, Azure Synapse Analytics, Databricks SQL Warehouse, Azure SQL, and Cosmos.
- Knowledge of data streaming using technologies such as Event Hubs and Spark, and knowledge of Python and Spark.
- Knowledge of Change Data Capture solutions such as Debezium and experience with Azure or other cloud platforms.
- Experience with database development and management, data integration, and data engineering projects.
- Excellent leadership, communication, and stakeholder management skills.
- Experience with Alibaba Cloud, AI/BI, or GenAI is advantageous.
- Project management experience, Agile project experience, and insurance or financial industry knowledge are advantageous.
Benefits
- Flexible work environment with a hybrid working arrangement.
- Opportunities to learn, grow, and shape the future of health data products within a global team.
- Support for employee well-being, inclusion, and career development.
Tech Stack
Categories
Data Engineering
About Manulife
Manulife is a Toronto‑headquartered public financial services company that provides life and health insurance, retirement plans, and wealth and asset management to individuals and institutions. It earns premiums and fee income from insurance, investment, and advisory products delivered across Canada, Asia, and Europe, and operates as John Hancock in the United States. Founded in 1887, the company is listed on the Toronto Stock Exchange.