Senior Data Engineer

Reporting To: Regional IT Director / PMO Director
Location: Hanoi, Ho Chi Minh
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.