[THNTDL]_Specialist Data Platform Integration
Number of positions: 02
Application deadline: 16/11/2026
Work location: Data Platform Integration Department - VCB Head Office
I. Job Description:
1. Exploit and develop data integration and reporting systems
- Design and build integration systems, extract data from source systems to data warehouse, data platform, data factory and vice versa.
- Build and manage data models of application systems/reports that have been put into operation.
- Develop and deploy data integration systems and data exploitation applications.
- Provide technical support and troubleshoot issues related to data integration systems.
2. Coordinate building and ensure continuity of integration systems
- Coordinate with relevant departments to build data integration solutions in line with business requirements.
- Coordinate to develop backup data provision solutions in accordance with regulations, ensuring data is provided continuously in case the central data platform encounters problems.
3. Perform other tasks assigned by the Department Head.
II. Criteria:
1. Qualifications:
- Professional qualifications: Bachelor's degree or higher (Good grade or above) in Information Technology, Data Science, Computer Science, Computer Engineering, Mathematics, Mathematical Economics, Mathematics and Informatics or related IT majors from domestic universities: Hanoi University of Science and Technology / Ho Chi Minh City University of Science and Technology; National Economics University; University of Economics Ho Chi Minh City; National University of Hanoi / Ho Chi Minh City; Posts and Telecommunications Institute of Technology; Academy of Cryptographic Technique; Military Technical Academy; Banking Academy; University of Transport; University of Natural Sciences under the National University system; Hanoi University; FPT University; reputable foreign universities.
- Training format: Full-time regular training program (not including bridging programs, second degree, part-time, or combined study and work; Master's training is only a priority consideration criterion).
- Foreign language proficiency: English level B1 (or equivalent) or above, good English usage, communication and comprehension of documents related to assigned work.
2. Knowledge:
Candidates need to have solid foundational knowledge and deep understanding in one of the following fields:
‒ Understanding of data platform integration and IT applications in cloud computing environments such as AWS, Azure, …
‒ Data processing architecture: Lambda, Kappa, batch processing, streaming (Kafka, Flink, …).
‒ Understanding of storage systems such as Object Storage, HDFS and related tools such as Trino, Hive, MinIO, …
‒ Experience using platforms such as Databricks, Microsoft Fabric, …
‒ Proficient use of languages such as Python, C#, Java, …
‒ Skills in requirement analysis, system design and software application development.
‒ Knowledge of banking operations.
3. Experience:
‒ Experience with ETL workflow management tools such as Airflow, IBM DataStage or open source tools.
‒ Priority given to candidates with experience in software development and data integration.
4. Skills:
‒ Planning and time management skills.
‒ Communication and presentation skills.
‒ Ability to work independently and in teams (Agile).
5. Abilities:
‒ Logical thinking.
‒ Strategic thinking.
‒ Assessment, synthesis, analysis.
6. Personal qualities:
‒ Careful, dedicated, diligent.
‒ Proactive, creative, adaptable.
‒ Able to handle high work pressure.
7. Age: Not over 35 years old at the time of recruitment registration.
