Job Summary
- Technical Skill:
- Machine Learning ,
- ETL ,
- MS Azure ,
- Oracle ,
- MySQL ,
- MongoDB ,
- API ,
- NoSQL ,
- MS SQL ,
- Docker ,
- Apache Spark ,
- Data Modeling ,
- Architecture ,
- DevOps ,
- Big Data ,
- Apache Kafka ,
- Data Warehouse ,
- Flume ,
- Azure Data Factory ,
- AKS ,
- Databricks ,
- Azure Databricks ,
- Azure Machine Learning Studio
Job description
Overview of job
As a Manager, Solution Data Engineer, you will be responsible for the following tasks:
- Lead the design, delivery, and management of the Group Data Platform (Microsoft Azure Cloud) for big data analytics and operational use.
- Architect and implement Data Processing, ETL/ELT frameworks, and Data API solutions to enable data-as-a-service (DaaS).
- Collaborate with data science and MLOps teams to support AI and machine learning deployment.
- Drive enterprise API management, technical direction, and best practices for API design and implementation.
- Mentor and manage data engineers, production support engineers, and external vendors.
- Ensure successful delivery of data initiatives in synergy with business and technology stakeholders.
- Champion agile practices and continuous improvement in data delivery.
- Attractive salary and benefits
- Hybrid working mode
- Full salary in probation & 13th month salary
- Social insurance on full salary from probation
- Extensive leave up to 18 days per year
- Annual health check
Job Requirement
QUALIFICATIONS / EXPERIENCE
- 10+ years’ experience in IT, with at least 5 years in a managerial role and regional exposure.
- Strong expertise in big data management, cloud platforms (Azure required), data architecture, and API management.
- Hands-on experience with Azure Data Factory, Databricks, Blobstorage, Synapse, Machine Learning Studio, and real-time streaming (Kafka, Spark, Flume).
- Proficiency in database technologies (MS SQL, Oracle, MySQL, NoSQL, MongoDB), DevOps automation, and container solutions (AKS, Docker).
- Solid understanding of data governance, analytics, visualization, and agile development.
- Excellent stakeholder management, communication, and people leadership skills.
- Insurance industry experience is a plus.
KNOWLEDGE & TECHNICAL 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 modelling methodology. Familiar with big data ecosystem, have a certain understanding of big data technology ecosystem;
- Solid understanding on Azure Data Management Solution including Azure Data Factory, Azure Databricks, Azure Blobstorage (Gen2), Azure Synapse and Azure Machine Learning Studio.
- 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
Languages
-
English
Speaking: Intermediate - Reading: Intermediate - Writing: Intermediate
Technical Skill
- Machine Learning
- ETL
- MS Azure
- Oracle
- MySQL
- MongoDB
- API
- NoSQL
- MS SQL
- Docker
- Apache Spark
- Data Modeling
- Architecture
- DevOps
- Big Data
- Apache Kafka
- Data Warehouse
- Flume
- Azure Data Factory
- AKS
- Databricks
- Azure Databricks
- Azure Machine Learning Studio
COMPETENCES
- Agile
- Team Leadership
- Responsible
- Communication Skills
- Meticulous
BUSINESS PROFILE
FWD VTC is making insurance simpler for everyone.
FWD Vietnam Technology Company Limited., known as FWD VTC, was set up in 2024 and is part of FWD Group. FWD VTC in Vietnam is one of FWD Group’s office locations serving multiple markets within the Group and employs team members in various functions including Group Technology and Operations, Group Digital & Data and our Centre of Excellence comprising cloud & infrastructure, information security, enterprise architecture and solution delivery.