Staff, Back-end Engineer

3 weeks ago


Seattle, Washington, United States Coupang Full time
About Us

Coupang's Data Infrastructure team is responsible for serving Hadoop clusters, data warehouses, and orchestration platforms across the entire business domain.

Our team provides various data processing services related to Coupang's services, including log analysis, recommendation, price comparison, AB testing, search indexing, advertising, and rocket delivery.

We are confident that we are playing a pivotal role in experiencing the best e-commerce for Coupang's customers.

The Data Infrastructure team simultaneously serves hundreds of Hadoop clusters in cloud environments and has the infrastructure and know-how to reliably scale to thousands of nodes.

We use open sources such as Hadoop, Spark, Hive, Presto, Airflow, Oozie, Docker, Kubernetes, Ansible, Terraform, Packer, and Java and Python as development languages.

Responsibilities
  • Collaborate with stakeholders and lead engineers on key mission-critical projects
  • Lead the design and deployment of big data infrastructure architectures
  • Maintain Hadoop/Data Warehouse infrastructure
  • Establish Data Warehouse governance and improve cluster operation efficiency
  • Develop self-service tools to improve cluster operational efficiency and user experience
  • Participate in business/technical improvement projects from a data platform perspective
  • Research and develop modern data engineering technologies
Requirements
  • Bachelor's degree or/and master's degree in computer science and equivalent majors
  • Proficient in at least one or more Java, Scala, Python
  • More than 10 years of experience in designing, developing, and maintaining large software infrastructures
  • Expertise in distributed systems such as Hadoop and Spark
  • Great communication skills and ability to share experiences and learning with colleagues
  • People who try to automate without maintaining manual or repetitive tasks
Preferred
  • Experience in designing and developing data pipelines in cloud environments such as AWS and GCP


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