RS
Hiring from
Vietnam
Work type
Hybrid
Posted

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  • Location: Nguyen Kiem Street, Phu Nhuan District, HCMC
  • Office hour: Monday – Friday (9:00 AM – 6:00 PM)

Key Responsibilities:

  • Design, build, and operate batch and near–real-time data pipelines across POS/ERP/WMS, e-commerce, marketing, and external data sources.
  • Implement orchestration (Airflow/Prefect/Dagster) with clear SLAs, monitoring, and robust incident handling.
  • Own schema design and data modeling for core domains such as Products, SKUs, Inventory, Sales, Suppliers, and Warehouses.
  • Develop and optimize the data warehouse (BigQuery/Snowflake/Redshift) and dbt models supporting forecasting, replenishment, and operational analytics.
  • Establish strong data quality practices: validation, anomaly detection, lineage, dashboards, and debugging tools.
  • Partner with DS/ML teams to deliver feature stores, training datasets, data versioning, and pipelines for model deployment.
  • Implement security, governance, access control, and maintain clear documentation (data dictionaries, lineage, runbooks).

Requirement:

  • 4+ years of experience as a Data Engineer.
  • Strong SQL and solid Python skills (pandas/PySpark is a plus).
  • Hands-on experience with modern data warehouses: BigQuery, Snowflake, or Redshift.
  • Experience building production ETL/ELT pipelines using Airflow, Prefect, Dagster, dbt, or similar tools.
  • Strong understanding of data modeling (star/snowflake schemas, SCD, event modeling).
  • Experience with cloud platforms (GCP/AWS/Azure) and basic infra (Docker, CI/CD).
  • Good English communication skills

Benefits:

  • Annual salary review
  • Hybrid working
  • 5-days working week (Monday-Friday) – working hours are between 9 am to 6 pm
  • 12 days of annual leave
  • Flat organization and open communication
  • Friendly working environment and flexible working hours.
  • Great opportunity to develop career, collaborate with English speaking developers
  • Free parking at the building


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