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Senior Big Data Engineer (Data Platform)

Seattle, United States

1852452 Sep. 09, 2019 Platform, Search and Discovery

Coupang is one of the largest and fastest growing e-commerce platforms on the planet. We are on a mission to revolutionize everyday lives for our customers, employees and partners. We solve problems no one has solved before to create a world where people ask, “How did we ever live without Coupang?” Coupang is a global company with offices in Beijing, Los Angeles, Seattle, Seoul, Shanghai, and Silicon Valley.  

Job Overview: 

As a Big Data Engineer of our data platform team, you will design, develop, test and implement the data infrastructure that supports company-wide Big Data Processing teams. This role will involve working closely with the bigdata user community across the company including Data Scientists, Engineers & Analysts who use our bigdata platform to do interesting and impactful analysis. You will have significant responsibility and influence in shaping the future of big data platform engineering at Coupang.

Qualifications:

  • BS or advanced degree in Computer Science/Engineering, information systems or related technical field.
  • Prior experience supporting platforms built using open source technologies like Jupyter, Hadoop, Hive, Presto, Spark etc.
  • Big Data tech - Hadoop, Hive, Presto, Yarn, HDFS, Spark, Tez etc.  Significant experience with other ETL tech (Informatica, SSIS, etc) is very valuable, but expect to work in a "Big Data" environment. Experience in Hadoop cluster admin is preferred.
  • Python for scripting and automation and basic SQL experience is required.
  • Prior experience in either AWS or Azure or Cloudera technologies, and any MPP/Cloud data warehouse solutions.
  • Solid understanding of JRE (Java Runtime Environment) and JVM langauges (Java, Scala)
  • You have the desire and aptitude to learn how the pieces of big data platform work together
  • Curious, Determined, Talented and Inspired to solve user issues.
  • Sharp communicator who can explain complex data problems in clear and concise language. 
  • Love freedom and hate being micromanaged. Given context, you're capable of self-direction. And be comfortable outside of your comfort zone.

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  • Data Engineering, Seattle, Washington, United StatesRemove