Senior Staff Software Engineer, Data

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 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 entrepreneurial 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 our Senior Staff Software Engineer, Data for  Search & Discovery organization,  you will be in charge of designing and implementing durable & efficient software solutions that handle massive volume of structured and unstructured data. 
  

The Search & Discovery organization is responsible for optimizing customers’ navigation experience and driving long-term growth. Every week more than 20 million customers use search in our app or on coupang.com, more than one third of them make purchases. Over half of the Coupang sales are directly attributed to search and recommendation. Many business initiatives and growth strategies are driven or boosted by ranking and recommendation. 
 
This role is an opportunity to build a solid data foundation to support ranking and recommendation, and business decision making. You will be handling billions of records of user interaction data, and petabyes of raw log files, and transform them into data objects that can be easily consumed by engineers and scientists. There are so many things to analyze, to design, and to build. If you are passionate about big data engineering and technology, you want to make real business impact, and you are a true problem solver, this is the right job for you. 

  What You Will Do

• Proactively drive the execution of data engineering, data quality roadmap for Search & Discovery 

• Take ownership, consolidate and optimize the Search & Discovery core data pipelines 

• Drive design and implementation of durable & efficient software solutions that handles massive amount of structured and unstructured data 

• Develop and scale data infrastructure that powers batch and real-time data processing 

• Build strong cross-functional partnerships with Data Scientists, Analysts, Product Managers, Indexing Platform Engineers, Ranking Engineers and Data Platform Engineers to understand data needs and deliver on those needs 

• Research, analyze and select technical approaches for solving difficult and challenging development and integration problems, coach and mentor other engineers in process and methodologies 

Basic Qualifications 

• BS or MS degree in Computer Science or related field, or equivalent practical experience 

• 6+ years of experience 

• Computer science fundamentals: data structures, algorithms, performance complexity, and implications of computer architecture on software performance (e.g., I/O and memory tuning) 

• Software engineering fundamentals: version control systems (i.e Git, Github) and workflows, and the ability to write production-ready code 

• Expert experience with Big Data tools and ETL frameworks (Hadoop, Hive, Presto, Spark, Scala, Apache Airflow, etc.) 

• Knowledgeable of modern data visualization and exploration platforms such as Apache Superset, Tableau, etc. 

• Experience deploying highly robust and scalable data pipelines processing petabytes of data 

• Experience with integrating applications and platforms with cloud technologies (i.e, AWS and GCP) 

• Strong verbal and written communication skills 

• Ability to conduct meetings and make professional presentations, and explain complex concepts and technical material to non-technical users 

• Experience with data modeling for data warehouses, such as star schema, is a strong plus