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Data Engineer

Teknik, data och digitalt · Data, AI och analys · Data engineering

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I korthet

iPECS is seeking an experienced Data Engineer (Data Architect) to lead the design and evolution of data architectures for large-scale services, focusing on building scalable and reliable data platforms by designing database architectures and data pipelines. The role involves extensive collaboration with engineering and platform teams, including designing ETL/ELT pipelines, data flows, and defining data standards and governance policies.

Ansvarsområden

  • 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

Krav

  • 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.)

Önskade kvalifikationer

  • 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

Förmåner

  • Outstanding opportunity to use skills and imagination to push boundaries
  • Challenge and innovation from a diverse team
  • Opportunity to build solutions never seen before
#Data Engineering#Data Architecture#Database Design#Data Pipelines#ETL/ELT#Data Warehousing#BI#SQL#RDBMS#Distributed Systems#CI/CD#Observability#Data Quality#Data Security
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Företag

Ericsson

Publicerade jobb

för 1 månad sedan

Anställningstyp

Heltid

Arbetsform

På plats

Erfarenhetsnivå

Senior

Platser

Seoul, Korea (the Republic of)

Sökande

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