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
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
