At AIA we’ve started an exciting movement to create a healthier, more sustainable future for everyone.
As pioneering innovators for over 100 years, we’re now transforming our organisation to be faster, simpler and more connected. Because we want to be even better equipped to develop digital solutions and experiences that help more people live Healthier, Longer, Better Lives.
To get there, we need people with tech/digital/analytics expertise and passion to help develop positive, sustainable change through digitally enhanced experiences that will impact the lives of millions of people and create a healthier future for everyone.
If you believe in developing a better tomorrow, read on.
About the Role
Report to: Manager, Data Engineer
Location: Ho Chi Minh
Function: Customer and Information Technology | Department: Information Technology
Type: Individual Contributor
THE OPPORTUNITY:
We are currently looking for Data Engineer, Lead who is responsible for developing and maintaining data pipelines, infrastructure, and systems that support advanced analytics initiatives across various departments and support data integration within the Data Warehouse platform as enterprise golden source.
ROLES AND RESPONSIBILITIES:
- Develop and implement data pipelines, ETL processes, and set up routines for data from various data sources.
- Optimize the data processing and query performance to ensure scalable and efficient data operations.
- Implement data quality controls, data governance policies and securities requirement to safeguard sensitive insurance data
- Collaborate with data scientist, data analysts and other business stakeholders to understand data needs
- Develop technical and training manuals and comply to other company data life cycle standards
- Stay up to date with emerging technologies, trends, and best practice in data engineers to drive continuous improvement and innovation.
JOB REQUIREMENTS:
Education & Experience
- Education: BSc degree in computer science. Data Engineering, Information Systems, Mathematics or relevant fields
- Experience 3-5 years of experience as a Data Engineer or similar role within the life insurance industry or other relevant financial services sector.
Technical skill
- Experience with Data warehouse: Databrick, Spark.
- Experience with Business Intelligence: Power BI
- Expert-level SQL: SQL Server, SQL Databrick.
- Experience in programming language – Python, Spark
- Experience with Git source control.
- Experience with building data model special on insurance domain.
- Hands-on experience of working with Data projects that have a complete CI/CD system.
- Experience with ETL tool: Azure Data Factory, Airflow.
Soft skill:
- Ability to influence both technical and business peers and stakeholders.
- Lead by example – jump 'on the tools' when required to support the team.
- Good communication skills with the ability to convey complex technical concepts in clear and concise language for various audiences, English communication is required.
- Demonstrated problem-solving skills and a results-oriented mindset.
Build a career with us as we help our customers and the community live Healthier, Longer, Better Lives.
You must provide all requested information, including Personal Data, to be considered for this career opportunity. Failure to provide such information may influence the processing and outcome of your application. You are responsible for ensuring that the information you submit is accurate and up-to-date.