Senior Data Engineer (GCP, Python) - Remote Work

BairesDev

Cajamarca

À distance

PEN 413 000 - 620 000

Plein temps

Il y a 4 jours
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Avantages offerts par ce poste

Remote work
Competitive compensation
Home setup provided
Flexible hours
Parental leave
Mentorship & growth

Résumé du poste

Senior Data Engineer (GCP, Python) at BairesDev will design, build, and optimize robust data pipelines for enterprise analytics. You will drive scalable streaming and batch processing to ensure data availability across a modern cloud environment.

Required 5+ years in data or software engineering, strong Python and GCP (BigQuery, Dataflow, Pub/Sub), and English proficiency. This is 100% remote, with excellent compensation in USD or local currency and flexible hours.

Qualifications

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

Responsabilités

  • Design, build, and optimize scalable batch and streaming data pipelines.
  • Architect and optimize ETL/ELT workflows using cloud-native services and orchestrators.
  • Develop data models tailored for downstream analytics use cases.
  • Collaborate with product and engineering to integrate diverse datasets and ensure data quality.
  • Monitor and tune pipeline performance for efficiency and reliability.

Connaissances

Python
GCP
BigQuery
Data pipelines
Airflow
English

Outils

Cloud Composer
Dataflow
Pub/Sub

Description du poste

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.

When you apply for this position, you're taking the first step in a process that goes beyond the ordinary. We aim to align your passions and skills with our vacancies, setting you on a path to exceptional career development and success.

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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