[Coupang Pay] Staff II, Data Engineer (Data Intelligence)

첨부된‘사내공모지원서 양식’을 작성하신 후 반드시 제출하여 주시기 바랍니다.
Please complete the attached the Internal Transfer Request Form and submit it.

쿠팡 이메일 계정으로 지원해 주세요.
Please make sure you are applying with your Coupang e-mail address.

About Us:

Coupang Pay, a fintech subsidiary of Coupang Corp., offers payment gateway services that have been developed and customized to meet the growing needs of our customers. Coupang Pay is dedicated to offering innovative payment and financial service solutions to all individuals and businesses using Coupang’s platform, ranging from customers making purchases on coupang.com and using Coupang Eats to order food, to merchants selling their goods on Coupang’s open market platform as well as Coupang Eats restaurant partners. We are committed to driving innovation in every element of customer payment experience with a team of experts who have extensive experience in fintech and a profound knowledge of Coupang’s businesses. Interested in learning more about Coupang Pay? Come along on our journey!

Job Overview:

The Fintech Data Platform team at Coupang Pay analyzes approximately X,000,000 orders and payment data generated daily by Coupay in real-time through big data processing technologies like Spark, Flink, etc.

Our Fintech.FDS, built on real-time analysis, is already hailed as a top-tier system in processing capacity and detection technology, ensuring utmost stability for transactions processed by Coupang Pay.

Furthermore, our Fintech Data Platform team enables comprehensive analysis of various source data from Coupang, including orders, payments, Coupay sign-ups, and authentications, by establishing a seamless data flow for data collection, processing, analysis, and reporting. This paves the way for data-driven decision making.

To drive continuous improvement and foster the development of diverse data-driven services, we are now opening a job position for Staff Data Engineer within the Fintech Data Platform team.

If you possess a strong passion for solving issues for customers and have a keen interest in developing data-driven services, we encourage you to apply today.

Responsibilities:

• Serve as a technical expert and influencer, increasing the productivity and effectiveness of the team by sharing your deep knowledge and experience.
• Work closely with other teams, identify their data needs, identify core KPI's to drive business growth, Influence source data producers to log key attributes.
• Design and build Coupang's next generation Data Lake, Data Warehouse and Systems.
• Design and build reliable data pipelines using modern distributed processing technologies such as Spark, Flink, Redshift, Iceberg, Presto, Hudi, Doris and ClickHouse with the ability to scale very large data volumes.
• Design and build tableau dashboards for Fintech Tech units and specific Business units.
• Foster, mentor, and enforce industry best practices in data architecture, design patterns, big data platform, storage, distributed compute and coding standard.

Qualifications:

• Bachelor's degree and/or Master's degree in Computer Science or equivalent.
• 10+ years of experience working on Bigdata with deep understanding of data modeling, data architecture, and data warehousing.
• Strong hands-on experience in distributed processing using Spark, and Hive.
• Extensive experience Bigdata Platform, Data Warehousing concepts and languages (SQL, NoSQL) and MPP databases.
• Problem solver, Pragmatic and Open-minded.
• Experience with handling large data volumes in a distributed environment.
• Hands on experience with Cloud Based Computing platforms such as AWS and understanding of scalability and reliability issues.
• Hands-on experience in one or more programming languages such as Java, Scala, Python or similar languages.
• Experience in collaborating with cross-functional teams to define mission, vision, and roadmaps.
• Experience in financial services industry is a plus.

첨부된‘사내공모지원서 양식’을 작성하신 후 반드시 제출하여 주시기 바랍니다.
Please complete the attached the Internal Transfer Request Form and submit it.

쿠팡 이메일 계정으로 지원해 주세요.
Please make sure you are applying with your Coupang e-mail address.