{"id":2516187,"url":"https://alion.io/job/ericsson-ipecs-data-engineer","title":"IPECS - Data Engineer","company":{"id":56456,"name":"Ericsson","domain":"ericsson.com","url":"https://alion.io/company/ericsson","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Eightfold","truth_index":{"grade":"B","score":81,"open_postings":97,"ghost_share":0,"stale_share":0.773,"repost_share":0,"time_to_fill_p50_days":31,"computed_at":"2026-10-16T05:45:00Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Seoul, South Korea"],"countries":["KR"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":72000,"max_usd":185000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":2324},"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Apache Kafka","optional":false},{"name":"CI/CD","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Flink","optional":false},{"name":"MySQL","optional":false},{"name":"Oracle","optional":false},{"name":"PostgreSQL","optional":false},{"name":"SQL","optional":false},{"name":"Argo Workflows","optional":true},{"name":"Kubernetes","optional":true},{"name":"Power BI","optional":true},{"name":"Tableau","optional":true}],"status":"live","first_seen_at":"2026-10-13T13:04:35Z","employer_posted_date":"2026-10-14","last_verified_at":"2026-10-16T20:45:06Z","board_verified":true,"closed_at":null,"days_open":3,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":3},"description":"Join our Team\nAbout this opportunity:\n**This is iPECS position/ Location is Gasan** \nAbout this opportunity\niPECS is looking for an experienced Data Engineer (Data Architect) to lead the design and evolution of data architectures for large-scale services.\nThis role focuses on building scalable and reliable data platforms by designing database architectures and data pipelines, while collaborating closely with engineering and platform teams.\niPECS는 대규모 서비스 환경에서 데이터 아키텍처 설계와 고도화를 주도할 **Data Engineer(Data Architect)**를 찾고 있습니다.\n본 포지션은 데이터베이스 및 데이터 파이프라인 아키텍처를 중심으로, 확장 가능하고 안정적인 데이터 플랫폼을 구축하는 역할입니다.\nWhat you will do:\nDesign and evolve large-scale database and data platform architectures\nDesign data flows and pipelines across operational databases, analytics databases, and Data Warehouses/Data Marts\nDesign and operate ETL/ELT pipelines, ensuring data quality and performance\nStructure data for analytics and BI use cases and design serving layers\nDefine data standards, schemas, and governance policies in collaboration with DevOps, Cloud, and service teams\nParticipate in roadmap design for future data platform scalability\nManage schema versioning and migrations integrated with CI/CD pipelines\nBuild monitoring for query performance and transaction logs aligned with observability and logging systems\nEstablish data lifecycle management and optimization strategies\nDefine and implement data quality management frameworks and automated pipelines\nDesign and implement real-time and batch synchronization strategies between operational and analytics environments\nDefine and apply data security policies including encryption, masking, and access control\n대규모 DB 및 데이터 플랫폼 아키텍처 설계 및 고도화\n운영 DB, 분석용 DB, Data Warehouse/Data Mart 간 데이터 흐름 및 파이프라인 설계\nETL/ELT 파이프라인 설계 및 데이터 품질·성능 관리\nBI 및 분석이 가능한 형태로 데이터 구조화 및 Serving 레이어 설계\nDevOps/Cloud/서비스 팀과 협업하여 데이터 표준, 스키마, 거버넌스 정책 정의\n향후 Data Platform 확장을 고려한 로드맵 설계 참여\nCI/CD 파이프라인과 연계된 Schema Versioning 및 Migration 관리\nObservability 및 Logging 체계와 연계된 쿼리 성능, Transaction Log 모니터링 구축\n데이터 라이프사이클 관리 및 최적화 전략 수립\n데이터 품질 관리(Data Quality) 체계 수립 및 자동화 파이프라인 구성\n운영 DB와 분석 환경 간 실시간/배치 데이터 동기화 전략 수립 및 구현\n데이터 보안 정책(암호화, 마스킹, 접근 권한 관리) 수립 및 적용\nRequired Qualifications\n8+ years of experience in data-focused roles such as Data Engineer, DBA, or backend engineering\nStrong hands-on experience in database engineering\nExperience operating large-scale RDBMS environments (MySQL, PostgreSQL, Oracle, etc.)\nSolid experience in query optimization, schema design, indexing, sharding, and performance tuning\nDeep understanding of SQL and experience designing complex queries and schemas\nExperience designing Data Warehouses and Data Marts\nExperience designing and operating ETL/ELT pipelines\nExperience with database replication, clustering, and failover/fencing configurations\nExperience diagnosing and tuning performance issues in large-scale data environments\nExperience establishing incident response and recovery processes for data pipelines\nHands-on experience operating at least one distributed data system (Kafka, Spark, Flink, etc.)\n데이터 엔지니어, DBA, 백엔드 등 데이터 중심 역할로 8년 이상 실무 경험\nDatabase Engineering 전반에 대한 hands-on 경험\nRDBMS(MySQL, PostgreSQL, Oracle 등) 기반 대규모 DB 운영 경험\nQuery Optimization, 스키마 설계, 인덱싱, 샤딩 등 성능 튜닝 실무 역량\nSQL에 대한 깊은 이해 및 복잡한 쿼리·스키마 설계 경험\nData Warehouse, Data Mart 설계 경험\nETL/ELT 파이프라인 설계 및 운영 경험\n데이터 이중화, 클러스터링, Failover/Fencing 구성 경험\n대용량 데이터 환경에서의 성능 이슈 진단 및 개선 경험\n데이터 파이프라인 장애 대응 및 복구 프로세스 수립 경험\nKafka, Spark, Flink 등 분산 데이터 시스템 중 1개 이상 실무 운영 경험\nPreferred Qualifications\nExperience with data pipeline orchestration tools such as Airflow or Argo Workflows\nExposure to modern data architecture concepts such as Data Mesh or Lakehouse\nExperience integrating BI tools such as Power BI or Tableau\nExperience processing large-scale log or event data\nExperience with data security, access control, or regulatory compliance\nAirflow, Argo Workflow 등 데이터 파이프라인 오케스트레이션 도구 경험\nData Mesh, Lakehouse 등 현대 데이터 아키텍처 개념 또는 실무 경험\nPower BI, Tableau 등 BI 도구 연동 경험\n대규모 로그 및 이벤트 데이터 처리 경험\n데이터 보안, 접근 제어, 규제 대응 경험\nWhy join Ericsson? 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.\nWhat happens once you apply?Click Here to find all you need to know about what our typical hiring process looks like.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. 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