Job description

Please complete the attached Internal Transfer Request Form  and submit. Please make sure to apply with your Coupang e-mail address . 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 General Description of All Benefits Annual bonus is 0-20% of the base salary Medical/Dental/Vision/Life, AD&D insurance Flexible Spending Accounts (FSA) & Health Savings Account (HAS) Long-term/Short-term Disability Employee Assistance Program (EAP) program 401K Plan with Company Match 18-21 days of Paid Time Off (PTO) a year based on the tenure 12 Paid Holidays Paid Parental leave Pre-tax commuter benefits MTV- [Free] Electric Car Charging Station General Description of Other Compensation “Other Compensation” includes, but is not limited to, bonuses, equity, or other forms of compensation that would be offered to the hired applicant in addition to their established salary or wage scale. Privacy Notice Your personal information will be collected and managed by Coupang as stated in the Application Privacy Notice located below: coupang.jobs Coupang is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, or gender(including pregnancy, gender identity, gender expression, sexual orientation, transgender status), national origin, age, disability, medical condition, HIV/AIDS or Hepatitis C status, marital status, military or veteran status, use of a trained dog guide or service animal, political activities, or affiliations, citizenship, or any other characteristic or class protected by the laws or regulations in the locations where we operate. If you need assistance and/or reasonable accommodation in the recruiting process due to a disability, please contact us at usrecruiting@coupang.com. Job Requisition ID: R0076110 Equal Opportunities for All Coupang is an equal opportunity employer. Our unprecedented success could not be possible without the valuable inputs of our globally diverse team. Please complete the attached Internal Transfer Request Form  and submit. Please make sure to apply with your Coupang e-mail address .

Requirements

Must-haves

Please complete the attached Internal Transfer Request Form  and submit.
Please make sure to apply with your Coupang e-mail address .
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
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
8+ years experience in data/engineering overall

Nice-to-haves

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
General Description of All Benefits
Annual bonus is 0-20% of the base salary
Medical/Dental/Vision/Life, AD&D insurance
Flexible Spending Accounts (FSA) & Health Savings Account (HAS)
Long-term/Short-term Disability
12 Paid Holidays

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

pythonsqlml

Platform: greenhouse
Effort: quick

Benefits

Benefits detected in the listing.

Dental

Vision

401k

Pto

Paid Time Off

Parental Leave