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CT GROUP

Data Engineer

Ho Chi Minh City, Vietnam
Calendar 04/03/2026
| Full-time
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Salary
Salary

20000000-25000000

Location
Work location

Ho Chi Minh City

date
Submission deadline

04/03/2026

target
Target number

1

MAIN RESPONSIBILITIES

Architecture & Data Platform
  • Participate in leading the design and implementation of the Data Lakehouse architecture on Azure, contributing to key technology decisions related to:
    • Azure Data Lake Storage Gen2
    • Delta Lake
    • Azure Synapse Analytics / Azure Databricks
  • Build a highly scalable data architecture optimized for both batch processing and real-time/streaming.
Develop & optimize data pipelines
  • Design, develop, and optimize high-performance ETL/ELT pipelines from various data sources: on-premise, cloud, streaming, API, file system.
  • Ensure pipelines are fault-tolerant, self-healing, well-monitored, and meet SLA requirements in a production environment.
  • Build and operate real-time/near-real-time pipelines directly serving analytics and AI/ML systems.
Integration & cross-team collaboration
  • Act as a technical bridge between Data Engineering and AI/ML, BI, DevOps, and Product teams.
  • Support data integration into:
    • Operational Machine Learning models (production)
    • BI systems, dashboards, and intelligent reporting
    • Complex data analytics applications
  • Coordinate with infrastructure and security teams to design and operate a secure data system, complying with security regulations and internal policies.
Performance & data governance
  • Pioneer the implementation of advanced optimization strategies for storing and querying big data, balancing performance – scalability – cost.
  • Establish and execute best practices for data governance, including:
    • Data Quality framework
    • Centralized metadata management
    • Data lineage and automated data flow tracking
Technical quality & knowledge sharing
  • Participate in code reviews, architecture design reviews, and ensure compliance with coding standards.
  • Mentor and support the development of junior Data Engineers' capabilities.
  • Build and maintain high-quality technical documentation to facilitate knowledge sharing and effective operations between product and analytics teams.

JOB REQUIREMENTS

  • Graduated with a Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or related fields.
  • A minimum of 8–10+ years of experience in AI/ML development, including experience in real-world production deployment and at least 3 years in a leadership role for AI/ML teams or large-scale projects.
  • Experience in deploying end-to-end AI solutions from development to production deployment.
  • Deep understanding of designing and scaling AI systems in operational environments.
  • Experience working in a cross-functional environment (Product, Data Engineering, Backend, Infrastructure).
  • Leadership and coaching skills, with the ability to develop teams.
  • Strong analytical and problem-solving skills.
  • Good communication skills, with the ability to clearly articulate technical concepts.
  • Ability to work effectively with cross-departmental teams.
  • A strong sense of ownership, high responsibility, and results-oriented mindset.
  • Ability to quickly adapt and a continuous learning mindset in the ever-changing field of AI.

BENEFITS & WELFARE

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