Manager, Data Engineering

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/.

PURPOSE

• To accelerate the delivery of FWD strategy outcome including product simplicity, experience focus, multi-channel distribution, hyper-relevant channel interactions, and systematic organizational agility, this Manager role of Data Engineering and Solution Delivery will work closely with teams of data professionals and stakeholders, to deliver both group and localized data solutions, which are supported by our One Data Platform and also align with FWD digital & AI technology strategy with cloud operation excellence. 
• Collect and analyze business requirements, conduct impact analysis and perform data solution design and implementation.
• Deliver quality Data Streaming, Data Engineering and API solutions, while striving for code efficiency, cost optimization and reusability.
• Provide necessary support for existing systems leveraging data streaming and API services.
• Practice the Agile development process and reach the goal of each sprint.
• Implement computer system requirements by defining and analyzing system problems.
• Design coding workflow and test solutions.

KEY ACCOUNTAIBILITIES

• Provide technical expertise and leadership to design, development, implementation, testing, documentation for key data components like streaming, pipelines and API services that support strategic business applications.
• Design real-time data service components built within Group’s One Data Platform.
• Lead optimization and enhancement of data streaming platform to achieve multi-BU multi-tenancy, scalability, maximum availability and stability under high load.
• Lead the design of database schema, query and aggregate data.
• Build reusable code and libraries for future use.
• Ensure the technical feasibility of the delivered product.
• Build clean and high-quality data processing or API codes to ensure that the code is well written and structured which allows the team to iterate quickly on projects.
• Consistently improve our development lifecycle by fine tuning the testing and provisioning process with methods such as infrastructure-as-code.
• Code-review to invest in spreading knowledge around the team, and keeping our code easy to read, test, and maintain.
• Presenting to leadership and stakeholders and supporting coordination of technical decisions.

QUALIFICATIONS / EXPERIENCE

• University degree in computer science or related field.
• 6-8 years of strong hands-on experience on data engineering, real-time data streaming (e.g. Kafka, Spark Streaming) and data API development, as well as data integration in an enterprise level platform with numbers of system integration points to support complex operational and data manipulation processes.
• Strong knowledge of relational database, specifically MS SQL, MySQL and others RMDBS. Knowledge in CDC is a plus.
• Familiar with prevalent ETL and data engineering tools like Databricks, Spark, Azure Data Factory, etc.
• Familiar with Hadoop ecosystem.
• Hands-on experience in Python, Scala, Java/J2EE development. Solid experience on .NET C# development would be bonus.
• Well versed in security requirements for data applications, and able to apply the knowledge proactively in design, implementation and testing, familiar with Security frameworks (e.g., JWT, OATH2)
• Experience documenting and testing API's using tools like Swagger, YAML, Postman, SoapUI, JMeter, and etc.
• Prior knowledge/exposure to cloud computing (Azure or AWS) is a plus, mostly prefer Azure and Azure data components.
• Technical expertise in software design, development, coding, testing, and debugging.
• Experience with DevOps and CI/CD pipeline development.

Technical Skills

• In depth and solid experience in Python, Scala, SQL, Spark Streaming, Linux, Java/J2EE and REST API.
• Strong experience on database development and various database technologies such as MS SQL, Oracle, MySQL, Postgres, NoSQL, MongoDB and etc
• Proven record on real-time data streaming and microservices development to handle low latency transactional processing
• Prior experience working on stream processing systems such as enabling real time data analytics at scale using technologies similar to Apache Kafka, Flink, Spark, Druid, Cassandra, Elasticsearch etc.
• Strong experience on managing API platform or product, such as KongAPI and MuleSoft.
• Good Knowledge of major cloud platform such as Azure, AWS, GCP, or IBM. Azure is most preferable.
• Strong experience on container-based solution such as Azure Kubernetes (AKS) and Docker.

Management Skills

• Develop collaborative partnerships with internal partners.
• Strong relationship development and management skills.
• Ability to manage teams on a day-to-day basis.
• Excellent stakeholder management, particularly managing expectations