GCP Data Engineer - Remote Work | REF#304694

BairesDev

Antioquia

Remote

COP 225,486,000 - 418,760,000

Full time

2 days ago
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Benefits offered by this job

Remote work 100%
USD compensation
Hardware and software setup for home
Flexible hours
Parental leave and vacations
Mentorship and growth opportunities
Global Top 1% talent environment

Job summary

BairesDev, a global software partner, is seeking a GCP Data Engineer to design and lead scalable data systems on Google Cloud Platform. You will own the data lifecycle, oversee pipelines and analytics, and ensure data is accessible, reliable, and ready for strategic decision-making.

This 100% remote role offers international collaboration, competitive USD compensation, hardware and software setup for home, flexible hours, and strong opportunities for mentorship and career growth.

Qualifications

  • 4+ years of experience in Data Engineering, Software Engineering, or Cloud Data Management.
  • Proven expertise in leading the development of scalable data systems on Google Cloud Platform.
  • Advanced proficiency in Python and in GCP native services such as BigQuery and Cloud Storage.

Responsibilities

  • Design, build, and maintain robust data processing systems and infrastructure on Google Cloud Platform.
  • Develop and optimize scalable data pipelines to ingest, transform, and store data from diverse sources using Python and GCP services.
  • Leverage BigQuery to build high-performance analytics warehouses and enable large-scale querying for business insights.
  • Collaborate with stakeholders to identify data requirements and implement end-to-end data solutions that support organizational goals.
  • Ensure data quality, reliability, and security by implementing best practices for data governance and proactive system monitoring.
  • Evaluate and integrate new GCP services to continuously improve the performance and cost-efficiency of the data infrastructure.

Skills

Google Cloud Platform
Data pipelines
BigQuery
Python
English proficiency

Tools

Python
Cloud Storage

Job description

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.

As a GCP Data Engineer, you will lead the development of scalable data systems on Google Cloud Platform. You will take ownership of the data lifecycle, overseeing pipelines and analytics solutions to ensure data is accessible, reliable, and efficiently managed for strategic decision-making.

What You'll Do
  • Design, build, and maintain robust data processing systems and infrastructure on Google Cloud Platform.
  • Develop and optimize scalable data pipelines to ingest, transform, and store data from diverse sources using Python and GCP services.
  • Leverage BigQuery to build high-performance analytics warehouses and enable large-scale querying for business insights.
  • Collaborate with stakeholders to identify data requirements and implement end-to-end data solutions that support organizational goals.
  • Ensure data quality, reliability, and security by implementing best practices for data governance and proactive system monitoring.
  • Evaluate and integrate new GCP services to continuously improve the performance and cost-efficiency of the data infrastructure.
What We Are Looking For
  • 4+ years of experience in Data Engineering, Software Engineering, or Cloud Data Management.
  • Proven expertise in leading the development of scalable data systems on Google Cloud Platform.
  • Advanced proficiency in Python for data processing, automation, and pipeline development.
  • Deep understanding of GCP-native services, specifically BigQuery and Cloud Storage.
  • Hands-on experience overseeing complex data pipelines and analytics solutions.
  • 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 national 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.

Join a global team where your unique talents can truly thrive and make a significant impact!

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