Remote Lead Data Engineer — Snowflake & GCP Pipelines

BairesDev

Comisión de Fomento de Perú

Remote

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

Full time

15 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

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.

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