Data Engineering Lv.4

The role

You will build and manage analytics and production data ETL/ELT systems for high volume data ingestion. You will partner with Data Science, Engineering, and Product to ensure data quality, observability, and reliability.

What you will do

• Build and manage analytics and production data ETL/ELT systems for high volume data ingestion from diverse sources.
• Partner with Data Science, Engineering, and Product to enable reliable, accurate logging/implementation and usage across the PPE domain.
• Ensure data quality, observability, and reliability across the data lifecycle.
• Create and maintain dashboards and reporting infrastructure to surface key PPE metrics to stakeholders.
• Optimize systems for performance, cost efficiency, and scalability.
• Leverage LLMs and advanced prompt engineering to automate and extract insights from unstructured data, and accelerate internal analytical workflows.
• Define and manage SLAs for data systems.

Required qualifications

• 3+ years of relevant working experience in a data engineering or business intelligence role.
• Proficiency in Data modelling, SQL and Python.
• Experience building and maintaining data pipelines (ETL/ELT) at scale.
• Experience in data storytelling using PowerBI, Tableau, or similar tools to communicate insights effectively to nonexperts
• Bachelor’s degree in Computer Science or equivalent.

Nice to have

• Hands-on experience with version control (GitHub), workflow orchestration, and ETL scheduling tools (e.g. Airflow, Dagster, DBT).
• Experience with distributed storage systems (e.g. HDFS, S3).
• Familiarity with prompt engineering and using generative AI tools to solve data problems or automate content generation.
• Previous experience in e-commerce or retail domains.
• Working knowledge of statistics and ML techniques.

Before you apply

• Complete the attached Internal Transfer Request Form and submit.
• Apply with your Coupang e-mail address.

About the company

Coupang is an e-commerce company that aims to make shopping, eating, and living easier. It is a fast-growing company with a startup culture and the resources of a large global public company.