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About the Role
iPECS is seeking 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.
Responsibilities
- 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.)
Skills
- Database Engineering
- RDBMS
- MySQL
- PostgreSQL
- Oracle
- Query Optimization
- Schema Design
- Indexing
- Sharding
- Performance Tuning
- SQL
- Data Warehouses
- Data Marts
- ETL/ELT
- Database Replication
- Clustering
- Failover/Fencing
- Kafka
- Spark
- Flink
- Airflow
- Argo Workflows
- Data Mesh
- Lakehouse
- Power BI
- Tableau
- Data Security
- Access Control
Location
- Gasan
- Korea (the Republic of) (KR) || Seoul
Work Type
- Onsite
Experience Level
- 8+ years of experience
About the Company
- At Ericsson, you´ll have an outstanding opportunity. The chance to use your skills and imagination to push the boundaries of what´s possible. To build solutions never seen before to some of the world’s toughest problems. You´ll be challenged, but you won’t be alone. You´ll be joining a team of diverse innovators, all driven to go beyond the status quo to craft what comes next.
Equal Opportunity
- Encouraging a diverse and inclusive organization is core to our values at Ericsson, that's why we champion it in everything we do. We truly believe that by collaborating with people with different experiences we drive innovation, which is essential for our future growth. We encourage people from all backgrounds to apply and realize their full potential as part of our Ericsson team. Ericsson is proud to be an Equal Opportunity Employer.