Data Engineer - Cloud & On-Prem Data Pipelines (GCP)

Sanlucar Company

Valencia

Híbrido

EUR 45.000 - 75.000

Jornada completa

Hace 2 días
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Descripción de la vacante

Kyndryl is seeking a Data Engineer to join the Applications, Data & AI practice, building cloud-native data platforms on Google Cloud. You will design and maintain scalable ETL/ELT pipelines, enable analytics and AI initiatives, and ensure data quality in enterprise environments.

You will collaborate with architects and stakeholders to translate requirements into robust data solutions, leveraging BigQuery, Dataflow, and other GCP services while contributing to data warehousing and governance

Formación

  • 3+ years of experience as a Data Engineer or similar role.
  • Hands-on experience with Google Cloud Platform services such as BigQuery, Cloud Storage, Dataflow, Pub/Sub, Composer, and Dataproc.
  • Strong SQL and Python programming skills.
  • Experience developing ETL/ELT pipelines and distributed data processing solutions.
  • Knowledge of data warehousing concepts and dimensional modeling.
  • Spanish and English fluid level.

Responsabilidades

  • Design, develop, and maintain scalable ETL/ELT pipelines on Google Cloud Platform.
  • Build and optimize data ingestion, transformation, and processing workflows for batch and real-time data.
  • Develop and maintain data models supporting analytics, reporting, and AI initiatives.
  • Implement data quality validation, monitoring, and governance controls.
  • Collaborate with architects and business stakeholders to translate requirements into technical solutions.
  • Support orchestration, automation, and operationalization of data pipelines.

Conocimientos

SQL
Python
ETL/ELT pipelines
Data modeling
Fluent in Spanish & English

Herramientas

BigQuery
Cloud Storage
Dataflow
Pub/Sub
Composer
Dataproc

Descripción del empleo

Kyndryl is seeking a Data Engineer to join the Applications, Data & AI practice, building cloud-native data platforms on Google Cloud. You will design and maintain scalable ETL/ELT pipelines, enable analytics and AI initiatives, and ensure data quality in enterprise environments.

You will collaborate with architects and stakeholders to translate requirements into robust data solutions, leveraging BigQuery, Dataflow, and other GCP services while contributing to data warehousing and governance

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