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Ericsson Logo Ericsson · IT - Software Development

Data Engineer

Korea, Republic Of, Seoul · Job Posted June 01, 2026
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Job Description

iPECS is looking for an experienced Data Engineer (Data Architect) to lead the design and evolution of data architectures for large‑scale services. This role focuses on building scalable and reliable data platforms by designing database architectures and data pipelines, while collaborating closely with engineering and platform teams.

Job Responsibility

  • Design and evolve large‑scale database and data platform architectures
  • Design data flows and pipelines across operational databases, analytics databases, and Data Warehouses/Data Marts
  • Design and operate ETL/ELT pipelines, ensuring data quality and performance
  • Structure data for analytics and BI use cases and design serving layers
  • Define data standards, schemas, and governance policies in collaboration with DevOps, Cloud, and service teams
  • Participate in roadmap design for future data platform scalability
  • Manage schema versioning and migrations integrated with CI/CD pipelines
  • Build monitoring for query performance and transaction logs aligned with observability and logging systems
  • Establish data lifecycle management and optimization strategies
  • Define and implement data quality management frameworks and automated pipelines
  • Design and implement real‑time and batch synchronization strategies between operational and analytics environments
  • Define and apply data security policies including encryption, masking, and access control

Requirements

  • 8+ years of experience in data‑focused roles such as Data Engineer, DBA, or backend engineering
  • Strong hands‑on experience in database engineering
  • Experience operating large‑scale RDBMS environments (MySQL, PostgreSQL, Oracle, etc.)
  • Solid experience in query optimization, schema design, indexing, sharding, and performance tuning
  • Deep understanding of SQL and experience designing complex queries and schemas
  • Experience designing Data Warehouses and Data Marts
  • Experience designing and operating ETL/ELT pipelines
  • Experience with database replication, clustering, and failover/fencing configurations
  • Experience diagnosing and tuning performance issues in large‑scale data environments
  • Experience establishing incident response and recovery processes for data pipelines
  • Hands‑on experience operating at least one distributed data system (Kafka, Spark, Flink, etc.)

Nice to have

  • Experience with data pipeline orchestration tools such as Airflow or Argo Workflows
  • Exposure to modern data architecture concepts such as Data Mesh or Lakehouse
  • Experience integrating BI tools such as Power BI or Tableau
  • Experience processing large‑scale log or event data
  • Experience with data security, access control, or regulatory compliance
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