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Data Engineer (Hadoop/Spark)


  • Develop and maintaining data pipelines in order to prepare well-structured data for analytic & reporting activities of business users and the needs of the company
  • Serve as a trustworthy partner for Risk Modelling team providing ecosystem and data to enable faster model development, deployment and innovation delivery
  • Support implementing strategy to reduce dependence on DWH Analytical Playgrounds by migrating to Data Marts and Hadoop as core data platform

Your role & responsibilities:

The Data & Feature Engineer's main objective is to drive data availability for business analytic & reporting purposes. Key areas of responsibility:

  • Analyze data from data producers and transform them into unified form, organize them within the data platforms and/or analytical/production feature store, produce base & derived features in line with Risk Modelling team requirements
  • Develop, maintain and monitor data pipelines preparing suitable data for analytic & reporting activities
  • Set up effective data quality monitoring to detect and remedy discrepancies (collaborate with HQ teams)
  • Drive utilization of Big Data Hadoop platform to reduce dependence on DWH Analytical Playgrounds
  • Support implementation of Feature Store solution aiming to significantly transform data preparation, model development, deployment and monitoring
    • Build local expertise for end-to-end development, deployment and monitoring of ML models using Feature Store solution
    • Deliver data processing mechanisms for real-time data processing and analytical use to utilize the value of new technologies

Your skills & qualifications:

Experience and expertise

Need-to-have areas

  • Experience as a Data Engineer
  • Experience with Big Data ecosystem, data integration, transformation, processing and visualization tools (Hadoop, Hive, Spark, Kafka, NiFi, Airflow, Jupyter) is a big plus
  • Programming Language: SQL and Python on intermediate level
  • University degree in Computer Science, Engineering or related field is preferred
  • Good written and oral communication skills
  • Able to communicate in English

Nice-to-have areas

  • Experience with PowerBI/Tableau BI tools
  • Experience with ML Ops is advantage
  • Experience from working in the data-related area in online, fin-tech, e-commerce, digital, IT dev
  • Able to communicate efficiently as well as to interpret and promote a big data culture to the organization

Personal characteristics 

  • Real passion for data, new data technologies, and discovering new and interesting solutions to the company’s data needs
  • Ability to work on own initiative and to tight deadlines, resilient to pressure
  • Ability to formulate, explain, discuss and negotiate topics with IT and Business teams
  • Good analytical and problem-solving skills
  • Ability to critically review and identify potential data discrepancies



  • Tầng G, 8 và 10 Tòa nhà Phụ Nữ, số 20 Nguyễn Đăng Giai, Phường Thảo Điền, Thành phố Thủ Đức, Thành phố Hồ Chí Minh

Year of experience

2 năm


Chuyên viên

Job Type


Recruitment process

  • Round 1:

    CV application & Git/Projects with relevant coding examples
  • Round 2:

    Behavioral & Cognitive Assessment
  • Round 3:

    Onsite Interview with Head Department



  • Tầng G, 8 và 10 Tòa nhà Phụ Nữ, số 20 Nguyễn Đăng Giai, Phường Thảo Điền, Thành phố Thủ Đức, Thành phố Hồ Chí Minh

Company size

Over 1000


Tech stack