RS
HCM - Data Engineer
- 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
