Senior Data Engineer (Coupang Play)

Coupang โ€ข Other US Location

Company

Coupang

Location

Other US Location

Type

Full Time

Job Description

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

Coupang Playโ€™s Analytics team operates at the nexus of business, product, marketing and technology to help the business grow subscribers and drive mission-critical key performance indicators. As a Data Engineer on the Play Analytics team, you will be responsible for the design, development, and maintenance of the data lake, data warehouse, and data pipelines that drive bespoke business reporting and forecasting needs.

In this role, you will build reliable and scalable data transformation which ingest and process terabytes of data each day and build the foundation for rigorous and dependable insights across the business. At this scale, you will need to ensure fault tolerance and robustness to deliver accurate results on time, as well as continuously identify opportunities to uplevel the Analytics teamโ€™s data infrastructure and tools.

The ideal candidate will be a self-starter who can develop a strong perspective on what analytics data infrastructure should look like at Play, can work cross-functionally with teams to understand ambiguous challenges, and deploy robust technical solutions that solve problems, increase process efficiencies, empower business owners to make strategic decisions, and drive Playโ€™s overall growth.


What You Will Do

  • Oversee and maintain existing data pipelines for job consistency and data integrity and omission
  • Assert quality of data is maintained at the highest level possible
  • Create new or modify existing pipelines to provide data to various tasks
  • Design and create new frameworks for data flow so that data can be produced and consumed in real-time for new types of products
  • Discuss with various stakeholders to improve existing exchange methods of raw data


Basic Qualifications

  • Bachelor of Science or advanced degree in Computer Science, or related technical field
  • 5+ years of software development experience with deep understanding of algorithms, data structures, design patterns, data pipelines and data warehousing
  • Strong hands-on experience in one or more programming languages such as Java, Scala, Python or similar languages
  • Experience setting up API services to ingest and transform external data for reporting use cases
  • Strong hands-on experience in distributed processing using Spark and Hive
  • Hands on experience with AWS Cloud Computing platforms and understanding of scalability and reliability issues
  • Able to proactively communicate with internal/external departments and proactive attitude and problem-solving skills


Preferred Qualifications

  • Experience of using large-scale distributed infrastructures for data processing (e.g., Kafka, Redis, Hive/Spark on Hadoop) is a plus
  • Familiarity with the Machine Learning domain to closely work on a relevant team



์ „ํ˜• ์ ˆ์ฐจ ๋ฐ ์•ˆ๋‚ด์‚ฌํ•ญ

์ „ํ˜• ์ ˆ์ฐจ

  1. ์„œ๋ฅ˜์ „ํ˜• > 1์ฐจ ํ™”์ƒ๋ฉด์ ‘ > 2์ฐจ ํ™”์ƒ๋ฉด์ ‘ > ์ฒ˜์šฐํ˜‘์˜
  2. ์ „ํ˜• ์ ˆ์ฐจ๋Š” ์ง๋ฌด๋ณ„๋กœ ๋‹ค๋ฅด๊ฒŒ ์šด์˜๋  ์ˆ˜ ์žˆ์œผ๋ฉฐ, ์ผ์ • ๋ฐ ์ƒํ™ฉ์— ๋”ฐ๋ผ ๋ณ€๋™๋  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค.
  3. ์ „ํ˜• ์ผ์ • ๋ฐ ๊ฒฐ๊ณผ๋Š” ์ง€์›์„œ์— ๋“ฑ๋กํ•˜์‹  ์ด๋ฉ”์ผ๋กœ ๊ฐœ๋ณ„ ์•ˆ๋‚ด ๋“œ๋ฆฝ๋‹ˆ๋‹ค.


์ฐธ๊ณ  ์‚ฌํ•ญ

  1. ๋ณธ ๊ณต๊ณ ๋Š” ๋ชจ์ง‘ ์™„๋ฃŒ ์‹œ ์กฐ๊ธฐ ๋งˆ๊ฐ๋  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค.
  2. ์ง€์›์„œ ๋‚ด์šฉ ์ค‘ ํ—ˆ์œ„์‚ฌ์‹ค์ด ์žˆ๋Š” ๊ฒฝ์šฐ์—๋Š” ํ•ฉ๊ฒฉ์ด ์ทจ์†Œ๋  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค.
  3. ๋ณดํ›ˆ๋Œ€์ƒ์ž ๋ฐ ์žฅ์• ์ธ ์—ฌ๋ถ€๋Š” ์ฑ„์šฉ ๊ณผ์ •์—์„œ ์–ด๋– ํ•œ ๋ถˆ์ด์ต๋„ ๋ฏธ์น˜์ง€ ์•Š์Šต๋‹ˆ๋‹ค.
  4. ์ง๊ธ‰๊ณผ ๋‹ด๋‹น ๋ฌด ๋ฒ”์œ„๋Š” ํ›„๋ณด์ž์˜ ์ „๋ฐ˜์ ์ธ ๊ฒฝ๋ ฅ๊ณผ ๊ฒฝํ—˜ ๋“ฑ ์ œ๋ฐ˜ ์‚ฌ์ •์„ ๊ณ ๋ คํ•˜์—ฌ ๋ณ€๊ฒฝ๋  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค. ์ด๋Ÿฌํ•œ ๋ณ€๊ฒฝ์ด ํ•„์š”ํ•  ๊ฒฝ์šฐ, ์ตœ ํ•ฉ๊ฒฉ ํ†ต์ง€ ์ „ ์ ์ ˆํ•œ ์‹œ๊ธฐ์— ํ›„๋ณด์ž์™€ ์ปค๋ฎค๋‹ˆ์ผ€์ด ๋  ์˜ˆ์ •๋‹ˆ๋‹ค.


๊ฐœ์ธ์ •๋ณด ์ฒ˜๋ฆฌ๋ฐฉ์นจ

  1. ์ฟ ํŒก ๊ทธ๋ฃน์€ ์‚ฌ์ง€์›์ž ๊ฐœ์ธ์ •๋ณด ์ฒ˜๋ฆฌ๋ฐฉ์นจ(์•„๋ž˜ ๋งํฌ)์— ๋”ฐ๋ผ ๊ท€ํ•˜์˜ ๊ฐœ์ธ์ •๋ณด๋ฅผ ์ˆ˜์ง‘ํ•˜์—ฌ ์ฒ˜๋ฆฌํ•ฉ๋‹ˆ๋‹ค.
  2. https://www.coupang.jobs/kr/privacy-policy


์„œ๋ฅ˜ ๋ฐ˜ํ™˜ ์ •

  1. ๋ณธ ๊ณ ์ง€๋Š” ใ€Ž์ฑ„์šฉ์ ˆ์ฐจ์˜ ๊ณต์ •ํ™”์— ๊ด€ํ•œ ๋ฒ•๋ฅ ใ€ ์ œ11์กฐ ์ œ6ํ•ญ์— ๋”ฐ๋ฅธ ๊ฒƒ๋‹ˆ๋‹ค.
  2. ๋‹น์‚ฌ ์ฑ„์šฉ์— ์‘์‹œํ•œ ๊ตฌ์ง์ž ์ค‘ ์ตœํ•ฉ๊ฒฉ์ด ๋˜์ง€ ๋ชปํ•œ ๊ตฌ์ง์ž๋Š” ใ€Ž์ฑ„์šฉ์ ˆ์ฐจ์˜ ๊ณต์ •ํ™”์— ๊ด€ํ•œ ๋ฒ•๋ฅ ใ€์— ๋”ฐ๋ผ ์ œ์ถœํ•œ ์ฑ„์šฉ์„œ๋ฅ˜์˜ ๋ฐ˜ํ™˜์„ ์ฒญ๊ตฌํ•  ์ˆ˜ ์žˆ์Œ์„ ์•Œ๋ ค ๋“œ๋ฆฝ๋‹ˆ๋‹ค. ๋‹ค๋งŒ, ํ™ˆํŽ˜์ด์ง€ ๋˜๋Š” ์ „์ž์šฐํŽธ์œผ๋กœ ์ œ์ถœ๋œ ๊ฒฝ์šฐ๋‚˜ ๊ตฌ์ง์ž๊ฐ€ ๋‹น์‚ฌ์˜ ์š”๊ตฌ ์—†์ด ์ž๋ฐœ์ ์œผ๋กœ ์ œ์ถœํ•œ ๊ฒฝ์šฐ์—๋Š” ๊ทธ๋Ÿฌํ•˜์ง€ ์•„๋‹ˆํ•˜๋ฉฐ, ์ฒœ์žฌ์ง€๋ณ€์ด๋‚˜ ๊ทธ ๋ฐ–์— ๋‹น์‚ฌ์—๊ฒŒ ์ž„ ์—†๋Š” ์‚ฌ์œ ๋กœ ์ฑ„์šฉ์„œ๋ฅ˜๊ฐ€ ๋ฉธ์‹ค๋œ ๊ฒฝ์šฐ์—๋Š” ๋ฐ˜ํ™˜ํ•œ ๊ฒƒ์œผ๋กœ ๋‹ˆ๋‹ค.
  3. ์œ„ 2ํ•ญ ๋ณธ๋ฌธ์— ๋”ฐ๋ผ ์ฑ„์šฉ์„œ๋ฅ˜ ๋ฐ˜ํ™˜ ์ฒญ๊ตฌ๋ฅผ ํ•˜๋Š” ๊ตฌ์ง์ž๋Š” ์ฑ„์šฉ์„œ๋ฅ˜ ๋ฐ˜ํ™˜์ฒญ๊ตฌ์„œ[์ฑ„์šฉ์ ˆ์ฐจ์˜ ๊ณต์ •ํ™”์— ๊ด€ํ•œ ๋ฒ•๋ฅ  ์‹œํ–‰๊ทœ์น™ ๋ณ„์ง€ ์ œ3ํ˜ธ ์„œ์‹]๋ฅผ ์ž‘์„ฑํ•˜์—ฌ ๋‹น์‚ฌ ์ด๋ฉ”์ผ ([email protected]) ๋กœ ์ œ์ถœํ•˜๋ฉด, ์ œ์ถœ์ด ํ™•์ธ๋œ ๋‚ ๋กœ๋ถ€ํ„ฐ 14์ผ ์ด๋‚ด์— ์ง€์ •ํ•œ ์ฃผ์†Œ์ง€๋กœ ๋“ฑ๊ธฐ์šฐํŽธ์„ ํ†ตํ•˜์—ฌ ๋ฐœ์†กํ•ด ๋“œ๋ฆฝ๋‹ˆ๋‹ค. ์ด ๊ฒฝ์šฐ ๋“ฑ๊ธฐ์šฐํŽธ์š”๊ธˆ์€ ์ˆ˜์‹ ์ž ๋ถ€๋‹ด์œผ๋กœ ํ•˜๊ฒŒ ๋˜์˜ค๋‹ˆ ์œ ํ•˜์‹œ๊ธฐ ๋ฐ”๋ž๋‹ˆ๋‹ค.
  4. ๋‹น์‚ฌ๋Š” ์œ„ 2ํ•ญ ๋ณธ๋ฌธ์— ๋”ฐ๋ฅธ ๊ตฌ์ง์ž์˜ ๋ฐ˜ํ™˜ ์ฒญ๊ตฌ์— ๋Œ€๋น„ํ•˜์—ฌ ์ฑ„์šฉ ์—ฌ๋ถ€๊ฐ€ ํ™•์ •๋œ ๋‚ ๋กœ๋ถ€ํ„ฐ 180์ผ ๊ฐ„ ๊ตฌ์ง์ž๊ฐ€ ์ œ์ถœํ•œ ์ฑ„์šฉ์„œ๋ฅ˜ ์›๋ณธ์„ ๋ณด๊ด€ํ•˜๊ฒŒ ๋˜๋ฉฐ, ๊ทธ๋•Œ๊นŒ์ง€ ์ฑ„์šฉ์„œ๋ฅ˜์˜ ๋ฐ˜ํ™˜์„ ์ฒญ๊ตฌํ•˜์ง€ ์•„๋‹ˆํ•  ๊ฒฝ์šฐ์—๋Š” ใ€Ž๊ฐœ์ธ์ •๋ณด ๋ณดํ˜ธ๋ฒ•ใ€์— ๋”ฐ๋ผ ์ง€์ฒด ์—†์ด ์ฑ„์šฉ์„œ๋ฅ˜ ์ผ์ฒด๋ฅผ ํŒŒ๊ธฐํ•  ์˜ˆ์ •๋‹ˆ๋‹ค.
  5. ์ฑ„์šฉ ๋ฐ ๋ฌด ์ˆ˜ํ–‰๊ณผ ๊ด€๋ จํ•˜์—ฌ ์š”๊ตฌ๋˜๋Š” ๋ฒ•๋ น์ƒ ์ž๊ฒฉ์ด ๊ฐ–์ถ”์–ด์ง€์ง€ ์•Š์€ ๊ฒฝ์šฐ ์ฑ„์šฉ์ด ์ œํ•œ๋  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค.


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Date Posted

05/27/2024

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