Staff, Data Engineer (Coupang Play)

Staff, Data Engineer (Coupang Play)

About Coupang Play

Launched in December 2020, Coupang Play is Coupang's OTT (over-the-top) service. Coupang Play aims to become the definitive destination for digital content. Backed by our strong Product and Engineering teams in Seoul, Singapore, and Mountain View — Coupang Play has been creating and optimizing the viewing experience for our customers.

Coupang Play is available on mobile devices, tablet PCs, smart TVs, and your preferred browsers. We are building a competitive content library that includes TV for children and all ages, movies, live sports, educational content, and more. Coupang Play also creates original content, catered specifically to our customers.

If you like to work backwards and solve problems for our customers, join us. We are committed to redefining how our customers enjoy digital entertainment as one of the fastest-growing OTT services in Korea.

Role Overview

This is a critical role to Coupang Play's Data Platform org. You will build a world-class data platform to power mission critical features such as search, recommendation, and personalization. The team is responsible for developing the platform and the data pipelines for generating all the source data needed to power Coupang Play search, including both the ground truth data and ranking signals/ML features. You will identify and solve hard problems to improve the system scalability, enhance the reliability, as well as optimize the resource efficiency.

What You Will Do

• Design and build Coupang Play's next-generation data platform.
• Design and build self-service data ingestion frameworks for enterprise-wide use.
• Design and build reliable data pipelines with the ability to scale to very large data using modern distributed processing technologies such as Spark and Hive.
• Develop, mentor and implement industry best practices in data architecture design, design patterns, and coding standards.
• Design and build source and sync connectors for data ingestion.  

Basic Qualifications

• Bachelor's degree or higher in computer science or related technology.
• 8+ years of software development experience with deep understanding of algorithms, data structures and design patterns
• Experience with one or more programming languages such as Java, Scala, Python, Go, or Kotlin.
• Experience in using distributed systems to deal with big data platform (Hadoop, Spark, Spark Streaming, HBase, Cassandra, etc) to write ETL pipelines.
• Solid knowledge of Database System, Data Warehousing concepts and languages (SQL, NoSQL)
• Ability to proactively understand and evaluate your business to drive development
• Ability to proactively diagnose problems and solve problems innovatively
• Software engineering fundamentals: version control systems (i.e Git, Github) and workflows, and the ability to write production-ready code
• Knowledge and ability to train and mentor fellow engineers
• Strong communication skills, written and verbal; ability to present the work and gather feedbacks from internal developers

Preferred Qualifications

• Experience with cloud computing platforms and understanding of scalability/reliability issues.
• Experience in maintaining and monitoring ETL pipelines
• Experience in analyzing large scale dataset and making data driven decisions
• Experience with stream processing systems (Kafka, Spark-Streaming or equivalent) preferred.
• Experience deploying highly scalable software supporting millions or more users.