Senior Data Engineer

Lương không công khai

Hà Nội (On-site)

Nghỉ trọn T7, CN

Hạn chót 27/11/2026

Đăng 15 ngày trước

Ít hơn 5 ứng viên

Yêu cầu công việc

Required:

- Bachelor‘s degree in Information Technology, Computer Science, System Engineering, or related field.

- 3+ years of experience in Data Engineering, Backend Engineering, or related software engineering roles.

- Strong programming skills in Python, Java, Node.js, or similar backend technologies.

- Hands-on experience with SQL and relational databases such as PostgreSQL/MySQL, including data modeling and query optimization.

- Experience building ETL/ELT pipelines, data ingestion processes, and integrating data from APIs, databases, files, or messaging systems.

- Good understanding of RESTful APIs, Microservices Architecture, distributed systems, and backend application development.

- Experience with at least one major cloud platform such as AWS, Azure, or GCP.

- Familiarity with Docker, Kubernetes, Git, and CI/CD pipelines.

- Good understanding of data security, access control, monitoring, logging, and production troubleshooting.

- Graduates or engineers trained within Vingroup programs or VinUni alumni are highly encouraged.


Nice to have

- Experience with cloud data services such as AWS S3, Glue, Athena, Redshift, RDS, Lambda, EMR, or equivalent services on Azure/GCP.

- Experience with orchestration tools such as Apache Airflow, Argo Workflows, AWS Step Functions, or similar technologies.

- Experience with Kafka, RabbitMQ, or other event-streaming/message queue platforms.

- Experience with Spark, PySpark, or distributed data processing frameworks.

- Experience with observability tools such as Grafana, Prometheus, CloudWatch, Loki, or OpenTelemetry.

- Experience designing or operating Data Lake, Data Warehouse, or modern Data Platform architectures.

Yêu cầu nên có

Experience with cloud data services such as AWS S3, Glue, Athena, Redshift, RDS, Lambda, EMR, or equivalent Azure or GCP services Experience with orchestration tools such as Apache Airflow, Argo Workflows, AWS Step Functions, or similar technologies Experience with Kafka, RabbitMQ, or other event-streaming or message queue platforms Experience with Spark, PySpark, or distributed data processing frameworks Experience with observability tools such as Grafana, Prometheus, CloudWatch, Loki, or OpenTelemetry Experience designing or operating Data Lake, Data Warehouse, or modern Data Platform architectures

Công việc cụ thể là gì?

We are looking for a Data Engineer with a strong backend engineering foundation to design, build, and operate scalable data pipelines, data services, and cloud-based data platforms.

The ideal candidate should have solid experience in data engineering, backend development, databases, and cloud infrastructure, with the ability to work across data integration, APIs, ETL/ELT, and production operations.


This role is ideal for:

- VinUni alumni with strong foundations in AI, ML, or data

- Engineers trained in VinBigData/ VinAI.. P&L programs


Key Responsibilities:

- Design and develop scalable data pipelines, ETL/ELT workflows, and data integration services from multiple internal and external data sources.

- Build and maintain backend services and APIs for data ingestion, access, synchronization, and system integration.

- Design and optimize databases, data models, data warehouses/lakes, and analytical workloads for performance and scalability.

- Develop and operate cloud-based data platforms on AWS/Azure/GCP, leveraging managed compute, storage, database, and data processing services.

- Implement and maintain workflow orchestration, batch/stream processing, CI/CD, monitoring, logging, and infrastructure automation.

- Ensure data quality, security, governance, reliability, and availability, while collaborating with Backend, DevOps, BI, and business teams.

• Giờ làm việc: 08:30 - 17:30 • Cấp bậc: Có kinh nghiệm • Loại công việc: Toàn thời gian

Quyền lợi có gì?

Học hỏi & phát triển

Access technical learning, knowledge-sharing, and long-term career-development opportunities.

Khác

Receive competitive compensation and benefits.
The salary and benefits are competitive and commensurate with qualifications and experience.