Data Engineer Trainee

Trung tâm Công nghệ Thông tin
Hồ Chí Minh
25-ITC-0239


Mô tả công việc

  • Join a structured, high-growth learning journey with mentorship from senior data engineers;
  • Participate in building resilient, scalable data pipelines and services for one of Vietnam’s largest tech ecosystems;
  • Help ingest, process, and deliver data across batch and real-time systems;
  • Contribute to the development of tools for monitoring data quality and performance;
  • Learn and apply best practices in data modelling, pipeline architecture, and cloud infrastructure;
  • Collaborate cross-functionally with product, analytics, and machine learning teams to deliver real business impact through data.

Yêu cầu công việc

  • Outstanding Academic 
    • Background Minimum GPA of 3.0/4.0 or 7.5/10; 
    • Proficient in English: B2, IELTS 6.0, TOEIC 800, Cambridge C1 (nice to have); 
    • Less than 2 years of full-time work experience and available to join full-time; 
  • Cultural Fit 
    • Proactive, adaptable, and passionate about technology and fintech – key traits for fast growth; 
    • Ready to embrace MoMo’s mission and core values to drive real impact; 
  • Leadership Potential 
    • Entrepreneurial mindset, innovative thinking, and the ability to adapt in a fast-changing environment; 
    • Strong motivation and long-term commitment to career development, with a clear ambition to grow into a future leadership role;
  • Department-specific Requirements
    • Basic knowledge of SQL and data manipulation techniques;
    • Familiar with Python or another scripting language commonly used in data pipelines;
    • Understanding of data structures, databases (relational and/or NoSQL), and ETL concepts;
    • Familiar with tools such as Pandas, Apache Airflow, or similar is a plus;
    • Understanding of cloud platforms (AWS, GCP, Azure) and data storage services is a bonus;
    • Critical thinking and problem-solving mindset;
    • Curiosity and eagerness to learn modern data tools and technologies;
    • Growth mindset, responsibility, and good collaboration skills;
    • Experience in academic or personal projects involving data analysis or data pipelines;
    • Knowledge of data streaming technologies such as Kafka, Spark Streaming, or real-time pipelines is a plus;
    • Experience participating in or winning awards in informatics or programming competitions (e.g., Olympiads, ICPC, hackathons, etc.).