About FWD Group
FWD Group is a pan-Asian life and health insurance business that serves approximately 30 million customers across 10 markets, including BRI Life in Indonesia. FWD’s customer-led and tech-enabled approach aims to deliver innovative propositions, easy-to-understand products and a simpler insurance experience. Established in 2013, the company operates in some of the fastest-growing insurance markets in the world with a vision of changing the way people feel about insurance. FWD Group is listed on the Main Board of The Stock Exchange of Hong Kong Limited under the stock code 1828.
For more information, please visit www.fwd.com
FWD Vietnam was established in 2016 and is a member of FWD Group. For more information, please visit www.fwd.com.vn
PURPOSE
You will be a team player who can work independently in a highly entrepreneurial work environment, responsible for planning, managing, designing, developing, delivering and monitoring the data integration environment for FWD VN.
KEY ACCOUNTABILITIES
Lead data management implementation including data integration, data profiling, data cleansing, data transformation, data analysis, data lineage and data mapping.
- Design, develop, document and implement end-to-end data pipelines and data integration processes, both batch and real-time. This includes data analysis, data profiling, data cleansing, data lineage, data mapping, data transformation, developing ETL / ELT jobs and workflows, and deployment of data solutions.
- Monitor, recommend, develop and implement ways to improve data quality including reliability, efficiency and cleanliness, and to optimize and fine-tune ETL / ELT processes.
- Recommend, execute and deliver best practices in data management and data lifecycle processes, including modular development of ETL / ELT processes, coding and configuration standards, error handling and notification standards, auditing standards, and data archival standards.
- Prepare test data, assist to create and execute test plans, test cases and test scripts.
- Collaborate with Data Architect, Data Modeler, IT team members, SMEs, vendors and internal business stakeholders, to understand data needs, gather requirements and implement data solutions to deliver business goals.
- BAU support for any data issues and change requests, document all investigations, findings, recommendations and resolutions.
- Adhoc requests assigned by line manager.
QUALIFICATIONS / EXPERIENCE
- Bachelor in IT, Computer Science or Engineering.
- Minimum 5 years of professional experience in data warehouse, operational data store, data manipulation and reporting system.
- At least 3 years of solid hands-on development experience with IBM DataStage or similar tools (SAS Data Integration…)
KNOWLEDGE & TECHNICAL SKILLS
- Familiar with ETL/ELT framework, data warehousing concepts, data management framework and data lifecycle processes.
- Strong understanding of programming and scripting languages like Python, TSQL and PLSQL.
- Strong knowledge in various database technologies (RDBMS, NoSQL and columnar).
- Good understanding of using Big Data technologies like MS Azure Cloud, Hadoop distribution (Hortonworks), Hive, HBase, Spark, Sqoop, Kafka….
- Experienced in handling and processing different types of data (structured, semi-structured and unstructured).
- Preferably with a good understanding of data analytics and data visualization.
- Experienced working in insurance industry will be an added advantage.
- Ability to communicate and present technical information in a clear and unambiguous manner.
