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 we ever live without CoupangBorn 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.

Role Overview

As a Staff Data Engineer for the Core Data and Ingestion team, you will be responsible for the Architecting, design, and development of the Data Ingestion, Data Lake, Data Warehouse, and Data Marts to enable data-driven decision-making across different organizations at Coupang.

In this role, you will be responsible to work across business domains to understand their business needs, work with Big Data Infrastructure to Architect/Design the reliable and scalable data products which process tera bytes of data each day and enable our customers to make reliable and fast business decisions. At this scale, you will need to ensure fault tolerance and robustness to deliver accurate results on time.

• Serve as a technical expert and exert technical influence over a team, increasing their productivity and effectiveness by sharing your deep knowledge and experience.
• Work closely with Business analyst across business domains, identify their data needs, identify core KPI s to drive business growth, Influence source data producers to log key attributes.
• Define foundational core data models across different business domains such as search, finance, accounting, advertising, marketing, warehouse management systems etc.
• Design and build Coupangs next generation Data Lake, and Data Warehouse.
• Design and build reliable data pipelines using modern distributed processing technologies such as Spark, Streaming, Iceberg, and Hive with the ability to scale very large data volumes.
• Experience driving Master data management practices from producer/source to consumer/data warehouse.
• Foster, mentor, and enforce industry best practices in data architecture, design patterns, big data platform, storage, distributed compute and coding standard.

Basic

• Bachelors degree and/or Masters degree in Computer Science or equivalent.
• 8+ 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 Scala/Spark, PySpark, and Hive.
• Extensive experience Bigdata Platform, Data Warehousing concepts and languages (SQL, NoSQL) and MPP database such as Redshift.
• Problem solver, Pragmatic and Open-minded.
• Experience with handling large data volumes in a distributed environment.
• Hands on experience with AWS Cloud Computing platforms 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

Our Hybrid work model: Coupang hybrid work model is designed to enable a culture of collaboration that acts a catalyst to enrich the experience of employees. Employees are required to work at least 3 days in the office per week, with the flexibility to work from home 2 days a week, depending on the role requirement. Some businesses may require more time in office due to nature of work.

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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