Kakao Introduces Data Engineering Role Definition and Required Competencies

Kakao's Data Information Platform Team introduced the definition and actual scope of work for data engineering for junior developers. Data engineering is a differentiated role that emerged in the big data era through collaboration with data scientists, with job definitions applied flexibly depending on the company and organization.

Core Responsibilities of Data Engineers

The primary roles of Kakao data engineers are as follows:

• Collection, Processing, and Storage: Design and build pipelines for processing streaming and batch data using tools such as Kafka, Flink, and Spark.
• Analytics Support: Develop self-service BI environments for employees and provide analytics platforms through Hive queries or visualization tools.
• Collaboration: Collaborate with data scientists to support AI/ML tasks, and review metrics and data scalability with service teams.

Practical Competencies and Hiring

Beyond simple technical proficiency, a deep understanding of data and strong collaboration skills are required. Kakao is currently recruiting analytics platform developers in Pangyo and Jeju, emphasizing practical experience for aspiring developers who wish to grow in big data environments.