Senior Data Engineer (GCP/Python) - Remote & Flexible

BairesDev

Colombia

A distancia

COP 374.895.000 - 499.859.000

Jornada completa

Hace 6 días
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Ventajas ofrecidas por este puesto de trabajo

Remote work from anywhere
Competitive USD salary
Home office setup
Flexible hours
Parental leave & holidays
Mentorship & growth opportunities

Descripción de la vacante

Join BairesDev as a Senior Data Engineer (GCP, Python) to design and optimize scalable data pipelines for analytics. Work remotely with a global team and influence data quality and architecture across products.

You will leverage BigQuery, Dataflow, Pub/Sub, and Airflow to build robust ETL/ELT workflows and data models. The role offers flexible schedules, a home-office setup, and competitive compensation in USD or local currency.

Formación

  • 5+ years of experience in Data Engineering or related field.
  • Strong hands-on experience with Python and GCP services like BigQuery, Dataflow, and Pub/Sub.
  • Proven expertise in streaming data pipelines and robust ETL/ELT workflows.
  • Solid understanding of Airflow/Cloud Composer and analytics data modeling.
  • Advanced proficiency in English.

Responsabilidades

  • Design, implement, and maintain highly scalable batch and streaming data pipelines.
  • Architect and optimize ETL/ELT workflows using cloud-native services and orchestrators.
  • Develop and optimize high-performance data models for downstream analytics.
  • 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
GCP Dataflow
GCP Pub/Sub
Airflow
Data modeling
English

Descripción del empleo

Join BairesDev as a Senior Data Engineer (GCP, Python) to design and optimize scalable data pipelines for analytics. Work remotely with a global team and influence data quality and architecture across products.

You will leverage BigQuery, Dataflow, Pub/Sub, and Airflow to build robust ETL/ELT workflows and data models. The role offers flexible schedules, a home-office setup, and competitive compensation in USD or local currency.

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