Senior Data Engineer (GCP, Python) - Remote & Flexible

BairesDev

Distrito Capital

Remote

VES 96,407,000 - 148,992,000

Full time

10 hours ago
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Benefits offered by this job

100% remote work
USD or local currency compensation
Hardware & software setup for home

Job summary

BairesDev in the tech powerhouse known for remote work is seeking a Senior Data Engineer (GCP, Python) to design, build, and optimize data pipelines for enterprise analytics across a modern cloud environment.

You will develop streaming and batch pipelines, leverage BigQuery, Dataflow, Pub/Sub, and Airflow, collaborate with product and engineering teams, and enjoy 100% remote work with flexible hours and worldwide opportunities.

Qualifications

  • 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.

Responsibilities

  • 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.

Skills

Python
GCP
ETL/ELT design
Data modeling
Airflow
English

Tools

BigQuery
Dataflow
Pub/Sub
Cloud Composer

Job description

BairesDev in the tech powerhouse known for remote work is seeking a Senior Data Engineer (GCP, Python) to design, build, and optimize data pipelines for enterprise analytics across a modern cloud environment.

You will develop streaming and batch pipelines, leverage BigQuery, Dataflow, Pub/Sub, and Airflow, collaborate with product and engineering teams, and enjoy 100% remote work with flexible hours and worldwide opportunities.

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