Data Engineer
Core
Build, maintain, and troubleshoot ETL/ELT pipelines and data warehouses to power decision-making for brand clients across Southeast Asia.
Role type
Mid-level Data Engineer
Builds
Production data pipelines and warehouses for digital commerce analytics
Domain
Ecommerce, Digital Solutions, Southeast Asia
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Python, SQL, Apache Airflow, Cloud data warehouses (BigQuery), OLTP databases (MySQL/Postgres), ETL/ELT design patterns
Preferred skills
dbt, OLAP databases (StarRocks/ClickHouse), Semantic layer tools (Cube.dev), BI tools (Looker Studio/Superset)
Technologies
Google BigQuery, StarRocks, Apache Airflow, dbt, Cube.dev, Looker Studio, Apache Superset
Responsibilities
Build and maintain ETL/ELT pipelines orchestrated with Apache Airflow; Write and optimize SQL transformations across StarRocks and Google BigQuery; Implement and maintain data quality checks against defined metrics and SLAs; Monitor pipeline runs and resolve failures; Collaborate with analysts to translate data requirements into pipeline logic.
Seniority
Mid-level, hands-on IC