Staff Data Engineer

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 are collectively disrupting the multi-billion-dollar commerce industry from the ground up and establishing an unparalleled reputation for being leading 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.

Role Overview

The Search and Discovery team is responsible for creating a world class search and discovery shopping experience for our customers, from “intent” based shopping to delighting the customer with serendipitous product discovery on every visit. 

We are obsessed with optimizing the entire search customer journey, from query understanding and search relevance to personalized and category/mission aware search and recommendation experiences. We believe the experience of finding the right fresh groceries should be personal and different from shopping for a new laptop or your next pair of jeans. Search and Recommendations drive over 70% of product discovery for our millions of daily customers, so the scale and impact of our work is massive!

Within S&D, the Data Science and Analytics team analyzes customer data to determine how our Search models should be designed. This includes assessing how customers interact with our search results, analyzing experiments, building predictive models, and much more. We partner with Product and Engineering to turn these insights into changes to our Search models.

What You Will Do 

• Ideate, 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 of Search data
• Ensure data quality, observability, and reliability across the data lifecycle
• Optimize systems for performance, cost efficiency, and scalability
• Define and manage SLAs for data systems
• Ensure security and compliance of data per industry standards

Basic Qualifications 

• 6 years of relevant industry experience as a data engineer in a technology company
• Bachelor's degree in Computer Science or equivalent
• Proficiency in Data modeling, ETL, Python and SQL

Preferred Qualifications 

• 8+ years experience in data/engineering overall
• Experience with distributed processing technologies and frameworks and distributed storage systems (e.g. HDFS, S3)
• Experience with ETL schedulers (e.g. Airflow, Dagster, DBT) 
• Experience with massive datasets, with an understanding of how to optimize data extraction
• Expertise in experimentation and statistics
• Understanding of ML concepts, and how different model configurations affect model outcomes
• Experience in e-commerce and/or search