Data Engineer
Dunamu provides blockchain services centered on a leading Korean digital-asset exchange. It also offers investment information and trading services for Korean, U.S., and unlisted stocks.
Funding history
About Dunamu
Dunamu operates blockchain services focused on providing a safe and transparent digital-asset trading environment, beginning with Korea’s largest digital-asset exchange. The company also provides investment-related information and securities services, including platforms for Korean, U.S., and unlisted stocks. Its website highlights Upbit and Stockplus among its associated services.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will develop and operate batch and real-time pipelines for data from diverse sources. You will build and operate governance systems that provide reliable data quality and discovery services. You will prepare and optimize data tables that support internal analytics, machine learning, and data-product development. You will also build monitoring environments, monitor services, and improve operational work and problem-solving using AI agents.
Requirements
- At least 5 years of data engineering experience
- Knowledge and operational experience with data lakehouses such as Apache Iceberg and BigQuery
- Knowledge and experience with large-scale data processing and distributed systems such as Apache Spark and Apache Flink
- Experience building and operating data pipelines in cloud and Kubernetes environments
- Experience building monitoring environments, proactively monitoring services, and preparing for incidents
- Experience using AI agents to improve operations and solve problems
- No restrictions on overseas travel
Responsibilities
- Develop and operate batch and real-time pipelines for data from diverse sources
- Develop and operate data governance systems for data quality and discovery
- Prepare and optimize data tables for analytics, machine learning, and data-product development
- Build service monitoring environments and proactively monitor services
- Improve operational work and solve problems using AI agents
Hiring Process
Document screening → first interview → second interview → compensation discussion → final offer; a personality assessment is conducted before the final selection.
