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Coupang

Sells goods online with its own overnight delivery

Staff Security Data Platform Engineer

Data EngineeringConfirmed live in the last 24 hours
Full-timeSeoul, South KoreaNo salary listedIn-person

About the Job

Requirements

  • At least 7 years of experience in large-scale data engineering or backend system development.
  • Experience building and operating large-scale data pipelines in AWS environments, including Kafka, Kinesis, or S3.
  • Ability to use Python for data processing and backend development.
  • Understanding of the structure and flow of security events and logs, including how logs from various sources are generated and used.
  • Practical experience diagnosing data pipeline failures and ensuring reliability.
  • Experience designing and operating architectures in cloud infrastructure environments.
  • Experience collaborating through Git and operating CI/CD pipelines.

Responsibilities

  • Design and build security data platform (data lake/warehouse) architecture to support detection engines, AI/ML models, and analysts in using data effectively.
  • Design real-time security log collection architecture across Kubernetes, servers, cloud, networks, and other environments, and build ETL/ELT data pipelines.
  • Operate and enhance the SIEM platform, ensuring the stability of detection rule execution, optimizing indexing and search performance, and onboarding new log sources.
  • Design data schemas suitable for AI/ML model use, perform data modeling, and build enrichment pipelines.
  • Build and operate a Detection-as-Code framework for code-based management, testing, and deployment of detection rules.
  • Optimize performance, tune queries, and manage reliability and cost efficiency for large-scale data platforms such as SIEM and data warehouses.
  • Ensure reliability throughout the pipeline from log collection to data loading, respond to incidents, and build monitoring systems.
  • Enhance data engineering work using AI/LLMs for log analysis automation, data quality management, and coverage gap analysis.

Desired Qualifications

  • Experience building and operating large-scale data platforms using cloud data warehouses.
  • Experience operating data transformation and orchestration frameworks such as dbt or Airflow.
  • Understanding of Detection-as-Code principles and experience using or developing related platforms.
  • Experience managing infrastructure using IaC tools such as Terraform or CloudFormation.
  • Understanding and practical application of security data models such as OCSF or CIM.
  • Experience building and operating SIEM solutions at scale.
  • Experience using AI/LLMs in data engineering tasks such as log normalization, automatic schema mapping, or coverage analysis.
  • Experience designing and operating security log collection architectures in Kubernetes environments.

About the Company

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Coupang

Sells goods online with its own overnight delivery

Coupang runs one of South Korea's largest online stores, selling groceries, electronics, household goods and fashion to consumers and small businesses. Rather than relying on outside carriers, it delivers most orders through its own warehouses and drivers, and its Rocket Delivery service brings millions of items to doorsteps overnight or the same day. Shoppers order through the Coupang app or website, and the company earns money from its own retail sales, commissions and fulfillment fees from outside sellers, and a paid membership. Coupang was founded in Seoul in 2010 and is headquartered in Seattle, with most of its operations and staff in South Korea.

Company size
10,001+
Company stage
IPO
Headquarters
Seattle, WA
Founded
2010

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