Senior Data Engineer (GCP, Python) - Remote Work

BairesDev

Veracruz

A distancia

MXN 2.216.000 - 3.323.000

Jornada completa

Hace 3 días
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Ventajas ofrecidas por este puesto de trabajo

100% remote
Competitive USD compensation
Home office setup provided
Flexible hours
Global and multicultural environment

Descripción de la vacante

BairesDev is seeking a Senior Data Engineer (GCP, Python) to design, build, and optimize robust data pipelines for enterprise-scale analytics in a 100% remote role. You will drive streaming and batch processing, ensure data quality, and collaborate with product and engineering to integrate diverse datasets.

You should have 5+ years in Data/Software Engineering, strong Python and GCP skills (BigQuery, Dataflow, Pub/Sub), and experience with Airflow or Cloud Composer and data modeling for

Formación

  • 5+ years of experience in Data or Software Engineering.

Responsabilidades

  • Design, implement, and maintain highly scalable batch and streaming data pipelines.
  • Architect and optimize robust ETL/ELT workflows using cloud-native services.
  • Develop high-performance data models for downstream analytics.
  • Collaborate with product and engineering to integrate diverse datasets and ensure data quality.
  • Monitor and optimize pipeline performance for efficiency and reliability.

Conocimientos

Python
GCP
BigQuery
Dataflow
Pub/Sub
ETL/ELT design
Airflow/Cloud Composer
Data modeling
English proficiency

Herramientas

Apache Airflow
Cloud Composer

Descripción del empleo

At BairesDev®, we've been leading the way in technology projects for over 15 years. We deliver cutting-edge solutions to giants like Google and the most innovative startups in Silicon Valley.

Our diverse 4,000+ team, composed of the world's Top 1% of tech talent, works remotely on roles that drive significant impact worldwide.

Senior Data Engineer (GCP, Python) at BairesDev

As a Senior Data Engineer (GCP, Python), you will design, build, and optimize robust data pipelines to support enterprise-scale analytics. You will drive the development of scalable streaming and batch data processing solutions, ensuring seamless integration and data availability across the modern cloud environment.

What You'll Do:
  • 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.
What we are looking for:
  • 5+ years of experience in Data Engineering, Software Engineering, or a related field.
  • Strong 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.
  • Solid understanding of workflow orchestration with Apache Airflow or Cloud Composer and data modeling for analytics.
  • Advanced proficiency in English.
How we do make your work (and your life) easier:
  • 100% remote work (from anywhere).
  • Excellent compensation in USD or your local currency if preferred
  • Hardware and software setup for you to work from home.
  • Flexible hours: create your own schedule.
  • Paid parental leaves, vacations, and holidays.
  • Innovative and multicultural work environment: collaborate and learn from the global Top 1% of talent.
  • Supportive environment with mentorship, promotions, skill development, and diverse growth opportunities.
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