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3 часа назад

Data Engineer (E-commerce)

Формат работы
remote
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
Argentina/Mexico/Colombia +1 еще
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Data Engineer (Python/Spark): Building and optimizing scalable data platforms for a high-traffic E-commerce marketplace with an accent on real-time streaming and cloud-native architectures. Focus on developing ETL/ELT pipelines, optimizing Snowflake data warehousing, and ensuring system reliability for millions of users.

Location: Remote (Must be based in Brazil, Argentina, Colombia, or Mexico)

Company

hirify.global Software develops modern digital solutions for global businesses and creates an environment where engineers can grow and innovate.

What you will do

  • Design, develop, and maintain scalable ETL/ELT pipelines using Python and Apache Spark.
  • Build and support real-time data streaming applications leveraging Apache Kafka.
  • Implement enterprise data solutions using Snowflake and AWS cloud-native architectures.
  • Ensure data quality, reliability, scalability, and performance across the entire data ecosystem.
  • Troubleshoot, monitor, and optimize production data pipelines.
  • Collaborate with cross-functional teams to support data-driven business initiatives.

Requirements

  • 4+ years of professional experience as a Data Engineer.
  • Strong proficiency in Python development and hands-on experience with Apache Spark.
  • Advanced knowledge of Snowflake and experience with AWS cloud services.
  • Experience building event-driven architectures and ETL/ELT pipelines.
  • English: Upper-Intermediate (B2) level or higher required.
  • Location: Must be based in Latin America (specifically Brazil, Argentina, Colombia, or Mexico).

Nice to have

  • Experience with large-scale E-commerce platforms.
  • Familiarity with real-time analytics systems.
  • Knowledge of infrastructure automation and CI/CD practices.
  • Experience optimizing high-volume data processing pipelines.

Culture & Benefits

  • Remote-first work environment with a flexible schedule.
  • Health and legal support for employees.
  • Access to an active professional community and continuous education opportunities.
  • Diversity of domains and technologies to work with.
  • Sports and community activities.

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