Data Analytics Engineer

Job Description

Dunamu is seeking a Data Analytics Engineer to join their team in Seoul, South Korea. The Data Analytics Engineer will play a crucial role in managing large-scale data, building and operating flexible and scalable systems tailored to business needs. The role involves ensuring data storage and processing with stability and performance in mind, while also rapidly analyzing and processing data to enhance business outcomes across various services and applications.

Role involves:

• Developing data marts and dashboards for diverse data within and outside Dunamu services.
• Automating DW data workflow tasks.
• Designing data models for efficient data storage, retrieval, and analysis.
• Facilitating optimal decision-making by connecting business and data.
• Operating and improving the internal data catalog to enhance data accessibility and utilization across the company.

Requirements:

• Minimum of 5 years of experience in data analysis and data mart design.
• Proficiency in DW/DM data modeling, pipeline construction, and operation.
• Experience in large-scale data analysis based on Hadoop Ecosystem or cloud environments.
• Basic CS knowledge and programming skills for problem-solving.
• Proficiency in SQL (advanced level) and Python (intermediate level).
• Experience in Airflow operation and troubleshooting.
• Experience in using and operating data visualization tools such as BI platforms (Redash, Superset, etc.).
• Experience in designing and operating environments for data quality management.

What role offers:

• Exposure to data in domains that are not easily accessible.
• Experience in specifying and managing company-wide central data management standards.
• Opportunity to gain high-level compliance and governance experience.
• Participation in regular team and data weekly technical seminars to share new technologies and know-how.