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5 дней назад

Data Engineer (GCP) - On-Site CDMX

Формат работы
onsite
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
Mexico
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 (GCP) - On-Site CDMX (Python/PySpark/SQL): Building and maintaining cloud-based data pipelines and ETL/ELT processes for analytics and business reporting with an accent on data quality, validation, and processing performance. Focus on optimizing SQL queries, troubleshooting data workflows, and delivering platform enhancements with Agile teams.

Location: On-site in CDMX; Aguascalientes is also listed under conditions

Company

hirify.global Engineering provides engineering, R&D, digital, and software technology services to companies across multiple industries.

What you will do

  • Develop and maintain data pipelines supporting analytics and business reporting.
  • Build and enhance ETL/ELT processes with cloud-based data technologies.
  • Perform data validation, testing, and troubleshooting to maintain data quality and reliability.
  • Optimize SQL queries and improve data processing performance.
  • Collaborate with Agile teams on features, deployments, and platform enhancements.

Requirements

  • 4–5 years of experience in data engineering, data development, or a related data-focused role.
  • Hands-on experience with Python, PySpark, SQL, and cloud-based data processing environments.
  • Familiarity with BigQuery, Dataproc, and Cloud Composer, with willingness to expand GCP expertise.
  • Understanding of ETL/ELT processes, data pipelines, data quality, and data transformation.
  • Strong problem-solving skills and ability to work effectively in collaborative Agile environments.

Culture & Benefits

  • Continuous learning through internal academies, certifications, and mentorship.
  • Diverse, respectful, and inclusive work environment.
  • Employee networks supporting diversity, equity, and inclusion.
  • Culture focused on fun and team spirit.

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