Lead Data Engineer (Snowflake) - Remote Work

BairesDev

Comisión de Fomento de Perú

Remote

ARS 212,582,000 - 288,504,000

Full time

13 hours ago
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Benefits offered by this job

Remote work
Competitive compensation
Home office setup
Flexible hours
Parental leave

Job summary

BairesDev is seeking a Senior Data Engineer to design, build, and optimize scalable data pipelines in a fully remote role. You will drive the development of streaming and batch processing solutions in a modern cloud environment, focusing on data quality and performance.

Ideal candidates have 5+ years in data engineering, strong Python and GCP skills, and experience with ETL/ELT, Airflow/Composer, and data modeling.

Qualifications

  • 5+ years of experience in Data Engineering or a related field.
  • Strong hands-on experience with Python and GCP services (BigQuery, Dataflow, 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.
  • Advanced proficiency in English.

Responsibilities

  • 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 ensure data quality.
  • Monitor, troubleshoot, and continuously improve pipeline performance.

Skills

Python
GCP
Data pipelines
ETL/ELT
Data modeling

Tools

BigQuery
Dataflow
Pub/Sub
Airflow
Cloud Composer

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.

Lead Data Engineer (Snowflake) 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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