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Data Engineer Remote.

Remote

MÔ TẢ CÔNG VIỆC

    - Design, build, and maintain data pipelines for data ingestion, transformation, validation, and delivery.
    - Develop and operate production orchestration platforms for data workflows.
    - Build and optimize ETL / ELT systems, ensuring performance, stability, and scalability.
    - Design data models, structure data flows, and implement best practices for data engineering.

QUYỀN LỢI

    - An attractive income level of up to 35,000,000 VNĐ.
    - Bonus: 1~10 million anyone for referring acquaintances and friends to the company
    - Working in a large and modern system, having the opportunity to enhance comprehensive technical skills
    - Become a Key Person of Project Influence, a Leader as well as a Project Manager.
    - Participate in staff engagement activities such as Game Online (Half-Life, AOE, Dota2, LOL, Pubg...), Team Building,
    - Having many opportunities to promote based on personal ability and range of salary.
    - Accessing to various projects and the latest technology
    - Taking part in many courses such as AWS, Microservice, English, Japanese...

YÊU CẦU

    - 5+ years of data engineering experience, with 2+ years building production orchestration platforms.
    - Expert-level Python for data engineering workloads and pipeline development.
    - Deep experience with modern orchestration frameworks (Dagster preferred, or Airflow/Prefect).
    - Strong SQL skills and experience with dbt for data transformation and modeling.
    - Production experience with PostgreSQL, data warehouses, and database optimization.
    - Proficiency with AI-assisted development tools (Cursor, Claude Code, GitHub Copilot, or similar).
    *Platform & Integration Skills
    - Experience with metadata management and data catalog systems.
    - Understanding of REST API design and automated API generation patterns.
    - Familiarity with vector databases and embedding pipelines for AI applications.
    - Experience with containerization (Docker) and orchestration basics (Kubernetes).
    - Strong understanding of data governance, access control, and compliance requirements.

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