Company Introduction
We exist to wow our customers. We know we’re doing the right thing when we hear our customers say, “How did I ever live without Coupang?” Born out of an obsession to make shopping, eating, and living easier than ever, we’re collectively disrupting the multi-billion-dollar e-commerce industry from the ground up. We are one of the fastest-growing e-commerce companies that established an unparalleled reputation for being a dominant and reliable force in South Korean commerce.
We are proud to have the best of both worlds — a startup culture with the resources of a large global public company. This fuels us to continue our growth and launch new services at the speed we have been since our inception. We are all entrepreneurs surrounded by opportunities to drive new initiatives and innovations. At our core, we are bold and ambitious people that like to get our hands dirty and make a hands-on impact. At Coupang, you will see yourself, your colleagues, your team, and the company grow every day.
Our mission to build the future of commerce is real. We push the boundaries of what’s possible to solve problems and break traditional tradeoffs. Join Coupang now to create an epic experience in this always-on, high-tech, and hyper-connected world.
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.
Basic 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.
Preferred Qualifications
- 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.
Type of work model
Details to consider
- Those eligible for employment protection (recipients of veteran’s benefits, the disabled, etc.) may receive preferential treatment for employment in accordance with applicable laws.
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