Data Platform Engineer

Reposted 16 Days Ago
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Hà Nội, VNM
In-Office
Senior level
Automotive • Retail • Transportation • Manufacturing
The Role
Design, build, and operate scalable batch and real-time data platforms on AWS. Own Apache Doris OLAP, Kafka ingestion, Airflow pipelines, Superset dashboards, containerized deployments (Docker/Kubernetes), CI/CD, monitoring, and data reliability practices to enable analytics, CDC, and digital-twin use cases.
Summary Generated by Built In

About us
Originating from Vietnam, VinFast is committed to the vision of becoming a global smart EV brand. VinFast has laid the foundation for the electric car and motorbike industry in Vietnam while passionately promoting the worldwide EV revolution.

With its Customer-First philosophy, VinFast relentlessly innovates and converges intellectual fundamentals in creating best-in-class products with the most affordable prices and outstanding after-sales services. In addition, VinFast provides everybody with the opportunity to use smart EVs while contributing to the creation of a smart, green, and sustainable future.

Job overview: We are seeking a Senior Data Platform Engineer to own and evolve our end-to-end data infrastructure. You will design, build, and operate scalable analytics platforms that support both batch and real-time streaming workloads on AWS.

Key responsibilities:

Data Infrastructure

  • Own and optimize Apache Doris as our primary OLAP data warehouse
  • Design efficient schemas, partitioning strategies, and storage architectures
  • Build and maintain robust batch pipelines orchestrated with Apache Airflow
  • Develop and operate streaming ingestion pipelines using Apache Kafka
  • Ensure strong data reliability, lineage visibility, and quality enforcement
  • Implement incremental ingestion and Change Data Capture (CDC) strategies

Analytics & BI

  • Manage and optimize dashboards in Apache Superset
  • Improve query performance, concurrency, and workload management
  • Enable scalable self-service analytics for internal teams

Cloud & DevOps

  • Containerize services using Docker
  • Collaborate with DevOps to deploy and operate workloads on Kubernetes (EKS or self-managed clusters)
  • Design, implement, and maintain CI/CD pipelines
  • Build monitoring, alerting, and observability systems
  • Optimize cost-performance across storage and compute layers

Scalability & Reliability

  • Ensure high availability, fault tolerance, and disaster recovery readiness
  • Design systems with strong failure isolation and operational resilience
  • Automate operational workflows to reduce manual overhead

Collaboration & Data Solutions

  • Analyze vehicle and customer data to support Digital Twin initiatives and smart mobility services
  • Deliver dashboards and predictive reports for solutions
  • Collaborate closely with product, engineering, and analytics stakeholders


Requirements
  • 3+ years of experience in Data Engineering or Platform Engineering
  • Strong SQL expertise and solid distributed systems fundamentals
  • Production experience with at least one OLAP system (e.g., Doris, ClickHouse, Redshift, Snowflake)
  • Hands-on experience operating Kafka in production environments
  • Strong experience designing Airflow DAGs with proper failure handling
  • Practical experience with Docker and Kubernetes
  • Strong knowledge of AWS cloud infrastructure
  • Experience implementing CI/CD pipelines
  • Deep understanding of idempotency, backfills, and data reliability best practices


Benefits
  • Competitive salary
  • Premium healthcare package, including PVI insurance & annual health check-ups
  • 13th-month salary & performance bonuses to reward your contributions
  • Enjoy preferential pricing for services within the Vingroup ecosystem including Vinmec, Vinpearl, and Vinschool...
  • Opportunity to collaborate with and learn from industry-leading professionals in the automotive domain.

Work Location: Technopark Tower, Vinhomes Ocean Park, Gia Lam, Hanoi

With respect to all your personal data shared to VinFast in the application and the entire recruitment process of VinFast, by clicking “Apply”, submitting your resumé/CV and/or participating in VinFast's recruitment process, you agree that you have read VinFast's Personal Data Protection Policy ("Policy") posted at https://vinfastauto.com/vn_vi/dieu-khoan-phap-ly or https://vinfast.vn/privacy-policy/, you agree to the Policy and consent for VinFast to process your personal data in accordance with the Policy and the applicable regulations on personal data protection.

To all recruitment agencies: VinFast does not accept agency resumes. Please do not forward resumes to our careers alias or other VinFast employees. VinFast is not responsible for any fees related to unsolicited resumes.

Skills Required

  • 3+ years of experience in Data Engineering or Platform Engineering
  • Strong SQL expertise and solid distributed systems fundamentals
  • Production experience with at least one OLAP system (e.g., Doris, ClickHouse, Redshift, Snowflake)
  • Hands-on experience operating Kafka in production environments
  • Strong experience designing Airflow DAGs with proper failure handling
  • Practical experience with Docker and Kubernetes
  • Strong knowledge of AWS cloud infrastructure
  • Experience implementing CI/CD pipelines
  • Deep understanding of idempotency, backfills, and data reliability best practices
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The Company
HQ: Cát Hải
29,878 Employees
Year Founded: 2017

What We Do

VinFast is a Vietnamese multinational automotive manufacturer, established in 2017, that designs and manufactures electric vehicles (EVs), e-scooters, and e-buses. It is part of Vingroup, one of Vietnam's largest conglomerates.

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