Resumen del rol

Senior Data Engineer

Requisitos y responsabilidades

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Details

  • Build and support data pipelines that ingest data from external systems
  • Work with both full data loads and regular incremental updates
  • Develop and maintain integrations using Java
  • Help design and maintain a unified internal data model
  • Ensure data quality and handle incorrect or incomplete data
  • Use AI‑assisted tools and approaches to improve data quality, detect issues, and support operations when appropriate
  • Ensure data pipelines are reliable, well‑monitored, and production‑ready
  • Work closely with engineering and product teams on integration and data needs
  • At least 5 years of professional experience as a Data Engineer
  • Strong production experience with Java
  • Experience with at least one data processing framework, such as Apache Spark, Apache Beam, or Apache Flink
  • Experience integrating external systems via REST APIs, including pagination, rate limiting, and token‑based authentication
  • Strong data modelling skills and experience working with structured, relational data
  • Solid SQL knowledge
  • GCP Dataflow experience
  • Experience operating data pipelines in production environments
  • Strong communication skills and ability to work across teams
  • English level - Upper Intermediate

Nice to haves

  • Experience with event‑driven architectures or messaging systems
  • Experience designing canonical schemas across multiple data sources
  • Experience with LLM

PERSONAL PROFILE

  • Proactive and detail-oriented
  • Thrives in collaborative environments
  • Enjoys solving complex integration challenges
  • Comfortable experimenting with new technologies
  • Committed to improving data systems
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FocoData EngineerÁrea del rol
Señal de senioritySeniorNivel del candidato
StackGCP, Java, LLMSkills principales
Ubicación64 países aceptadosElegibilidad

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