Senior Data Engineer - GCP/Python | Remote, Flexible Hours

BairesDev

Chile

A distancia

CLP 115.607.000 - 173.410.000

Jornada completa

Hace 6 días
Sé de los primeros/as/es en solicitar esta vacante
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Ventajas ofrecidas por este puesto de trabajo

Remote work
Competitive compensation in USD
Home-office setup
Flexible hours
Parental leave

Descripción de la vacante

BairesDev is seeking a Senior Data Engineer (GCP, Python) to design, build, and optimize data pipelines for enterprise-scale analytics. This remote role offers competitive compensation in USD or local currency.

You will collaborate with product and engineering teams to integrate diverse datasets, implement streaming and batch processing, and ensure data quality across cloud services.

Join a diverse, tech-driven environment that values growth, mentorship, and flexible hours.

Formación

  • 5+ years of experience in Data Engineering or related field.
  • Strong Python and GCP experience (BigQuery, Dataflow, Pub/Sub).
  • Proven expertise in designing streaming data pipelines and ETL/ELT workflows.
  • Solid knowledge of workflow orchestration (Airflow or Cloud Composer) and analytics data modeling.
  • Advanced English proficiency.

Responsabilidades

  • Design, implement, and maintain highly scalable batch and streaming data pipelines.
  • Architect and optimize robust ETL/ELT workflows utilizing cloud-native services and orchestrators.
  • Develop and optimize high-performance data models tailored for downstream analytical use cases.
  • Collaborate with product and engineering teams to integrate diverse datasets and establish data quality standards.
  • Monitor, troubleshoot, and continuously improve pipeline performance to guarantee efficiency and reliability.

Conocimientos

Python
GCP
BigQuery
Dataflow
Pub/Sub
Airflow
Data modeling
5+ years experience
English

Descripción del empleo

BairesDev is seeking a Senior Data Engineer (GCP, Python) to design, build, and optimize data pipelines for enterprise-scale analytics. This remote role offers competitive compensation in USD or local currency.

You will collaborate with product and engineering teams to integrate diverse datasets, implement streaming and batch processing, and ensure data quality across cloud services.

Join a diverse, tech-driven environment that values growth, mentorship, and flexible hours.

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