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

BairesDev; Veracruz; Presencial; MXN 2.042.000 - 3.063.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Remote work

Competitive compensation (USD)

Home-office setup

Flexible hours

Descripción de la vacante

BairesDev is seeking a Senior Data Engineer (GCP, Python) to design, build, and optimize robust data pipelines supporting enterprise-scale analytics. You will drive streaming and batch processing, ensuring seamless data availability across a modern cloud environment.

Join a remote-first team with global impact, where you will collaborate with product and engineering to integrate diverse datasets, improve data quality, and deliver scalable analytics pipelines.

Formación

• 5+ years of experience in Data Engineering or related field.
• Hands-on experience with Python and GCP services like BigQuery, Dataflow, and Pub/Sub.
• Proven expertise in designing streaming data pipelines and robust ETL/ELT workflows.
• Knowledge of workflow orchestration with Airflow or Cloud Composer and data modeling for analytics.

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

Cloud Composer

Data modeling

English

Descripción del empleo

BairesDev is seeking a Senior Data Engineer (GCP, Python) to design, build, and optimize robust data pipelines supporting enterprise-scale analytics. You will drive streaming and batch processing, ensuring seamless data availability across a modern cloud environment.

Join a remote-first team with global impact, where you will collaborate with product and engineering to integrate diverse datasets, improve data quality, and deliver scalable analytics pipelines.