Coupang · coupang.jobs · checked today
Data Engineering Lv.4
Skills, with evidence
- Cost & performance
Optimize systems for performance, cost efficiency, and scalability.
must have - Data modelling
Proficiency in Data modelling, SQL and Python.
must have - Data quality
Ensure data quality, observability, and reliability across the data lifecycle.
must have - Python
Proficiency in Data modelling, SQL and Python.
must have - SQL
Proficiency in Data modelling, SQL and Python.
must have - Airflow / orchestration
Hands-on experience with version control (GitHub), workflow orchestration, and ETL scheduling tools (e.g. Airflow, Dagster, DBT).
- dbt
Hands-on experience with version control (GitHub), workflow orchestration, and ETL scheduling tools (e.g. Airflow, Dagster, DBT).
- Dashboards & BI
Create and maintain dashboards and reporting infrastructure to surface key PPE metrics to stakeholders.
not practised here - AWS
Experience with distributed storage systems (e.g., HDFS, S3).
not practised here
Your plan
- SQL
drills at the Mid level
- Python
drills at the Mid level
- Modelling
drills at the Mid level
- Pipelines
drills at the Mid level
- Spark
drills at the Mid level
The full plan, drill by drill, is on the job page.
leaves in 9 dremoved the moment Coupang closes it