Senior Data Engineer

About FWD Group

FWD Group is a pan-Asian life and health insurance business with more than 12 million customers across 10 markets, including some of the fastest-growing insurance markets in the world. The company was established in 2013 and is focused on changing the way people feel about insurance. FWD’s customer-led and digitally enabled approach aims to deliver innovative propositions, easy-to-understand products and a simpler insurance experience.

For more information, please visit www.fwd.com

For more information about FWD Hong Kong, please visit www.fwd.com.hk/.

KEY ACCOUNTAIBILITIES

• Provide the support for FWD Group Data platform on MLOps projects, the key work scope includes: data injection, data transformation, data processing, AI model deployment, AI model maintenance.
• Responsible for coding implement of company internal MLOps Data delivery projects, and participate in different phase of delivery project
• Participate in vendor delivery project code review, ensure MLOps data project delivery quality
• Responsible for receiving the transferred project from vendor, and supporting the enhancement development and maintenance of production system
• Participate in solving the technical difficulties encountered in the research and development of big data development platform;

KEY PERFORMANCE INDICATORS

• Achievement defined in performance indicator
• Project design and code quality, schedule
• Customer satisfaction rate
• Production Support timeliness rate

EXTERNAL & INTERNAL CONTACTS

Internal

• Report to project management team and data team leader
• Communication with team members
• Actively work together with internal other resources, such as Azure Infras engineer, PBI engineer

External

Regular reports to FWD group data management team

Communicate with all vendor delivery team

DECISION MAKING

In accordance with delegated authority

QUALIFICATIONS / EXPERIENCE

• Graduated from computer related major, with strong programming ability (Java / Python / Scala), cloud platform development experience is preferred, ex Azure.
• 2. At least 3-5 years of experience in spark / spark streaming / Flink / Kafka ecological environment development, proficient in basic knowledge and data development technology related to data processing, relevant experience in real-time data processing, familiar with fluent is preferred;

KNOWLEDGE & SKILLS

• Be familiar with the construction and design of enterprise data warehouse, have experience in management and design of large-scale data warehouse, and be familiar with data modeling methodology. Familiar with big data ecosystem, have a certain understanding of big data technology ecosystem;
• Strong sense of responsibility, meticulous work, conscientious and practical work, and strong ability of hands-on and learning new technology;
• Has AI model development and deployment experience
• Good communication skills, good English listening, speaking, reading and writing skills
• Working experience in insurance industry is preferred PURPOSE

Contribute to the development of Project Delivery department, focus on Azure MLOps Support.