VinSmart Future was officially established as Vingroup’s dedicated technology Company, with the mission “Create a better life for all people through advanced technology and superior digital experiences.” VinSmart Future aims to build Vingroup’s unified technology platform, connecting intelligent operations management with a super app for customers to deliver seamless and exceptional digital experiences. The Company serves as a hub for top domestic and international information technology talents.
**VinSmart Future focuses on the following core components:**
- Technology Infrastructure: Data centers, servers, network systems, and cybersecurity.
- Shared Services for Business Operations Management: Artificial intelligence, data, user identity management, human resources, finance and accounting, enterprise procurement, and more.
- End\-User Applications: A super app integrating all services, specialized applications (e.g: GreenSM), and internal apps (e.g: ILoveVingroup)...
With its pioneering spirit and robust technological capabilities, VinSmart Future is committed to breakthroughs that will drive innovation for Vingroup and deliver meaningful value to society. This marks a crucial step toward realizing a national super app and shaping a modern, intelligent, and premium digital lifestyle in Vietnam.
**Position Responsibilities**
- Design and build data pipelines to ingest data from multiple source systems into the data warehouse.
- Develop transformation and aggregation logic to support reporting and analytics.
- Build and maintain a data catalog and implement data quality checks across pipelines.
- Define data access controls and ensure compliance with data privacy regulations and internal policies.
- Set up monitoring and alerting for data pipelines and infrastructure.
- Support the development of data\-driven solutions for operational use cases.
- Partner with the Analytics/BI team to build and maintain data dashboards.
**Qualifications / Professional Competencies / Experience Requirements**
**Education:**
- Bachelor’s degree or higher in Computer Science, Information Technology, or related fields.
**Experience:**
- 5\+ years of experience in data engineering or backend engineering roles.
- Proven experience designing and building batch and streaming data processing systems.
- Strong proficiency in Python and SQL, with a track record of building production\-grade data pipelines.
- Solid foundation in algorithms, data structures, system design, and performance optimization.
- Hands\-on experience with modern data tooling such as Airflow, dbt, Kafka Connect, Spark, Flink, or NiFi.
- Experience with OLAP database systems such as BigQuery, ClickHouse, or Apache Doris.
- Experience with event\-driven architecture and real\-time data processing.
- Experience with data governance practices, including data quality and data catalog tools (OpenMetadata, DataHub).
- Familiarity with cloud platforms (GCP, AWS), Kubernetes, ArgoCD, and monitoring/alerting tools (Prometheus, Grafana).
**Soft Skills**
- Strong analytical and problem\-solving abilities.
- Effective communication and cross\-functional collaboration.
- Self\-driven, with the ability to work independently.
