Data Engineer

9 hours ago

TF Office Building Quận Vietnam Vietnam Cartrack Full time $60,000 - $120,000 per year


About Us

We're a world-leading smart mobility SaaS tech company with almost 2,300,000 active users. Our teams are collaborative, vibrant, and fast-growing, and all team members are empowered with the freedom to influence our products and technology.

Are you curious, innovative, and passionate? Do you take ownership, embrace challenges, and love problem-solving?

Your Role

  • Design, build, and maintain data pipelines and ETL workflows using tools like Airflow.
  • Develop monitoring systems to detect upstream data changes and maintain data freshness.
  • Optimize relational and analytical databases for performance, including partitioning, indexing, and table design.
  • Implement data quality, data lineage, and source documentation standards.
  • Manage and tune analytics databases such as ClickHouse, Druid, StarRocks, or Doris.
  • Work with relational databases such as PostgreSQL, MySQL, SQL Server, or Oracle.
  • Leverage distributed query tools (e.g., Spark, Trino) to support scalable data analysis.
  • Build, deploy, and monitor services in Linux environments, including shell scripting and debugging.
  • Create and maintain Docker images, ensuring consistent environments for development and deployment.
  • Integrate data workflows with CI/CD pipelines using tools such as GitLab, GitHub, or Bitbucket.
Your Qualifications

Core Technical Skills

  • Strong proficiency in one or more of the following: C, C++, C#, Go, or Rust.
  • Proficiency in Python for scripting and automation.
  • Experience with Airflow and complex ETL processes involving large datasets.
  • Solid understanding of data architecture, database optimization, and monitoring best practices.
  • Hands-on experience with Docker, Linux environments, and version control systems.

Preferred / Nice-to-Have Skills

  • Experience or interest in Kubernetes and Helm charts.
  • Familiarity with AI/LLM data pipelines — generating tables and views optimized for low-latency queries.
  • Experience with LLM Agent development, RAG workflows, or related frameworks such as LlamaIndex, LangGraph, or FastAPI.
  • Knowledge of stream processing systems to accelerate data ingestion into analytics databases.
  • Exposure to feature engineering and table design in collaboration with data scientists.

Qualifications & Experience

  • Bachelor's Degree or Advanced Diploma in Computer Science, Information Technology, or Engineering, with 3–5 years of experience in a software or technology environment focused on data systems architecture, deployment, and monitoring.
  • Candidates without a degree must have 6–10 years of equivalent experience in data engineering, infrastructure management, or backend systems development.

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