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5 дней назад

PHP Data Developer (ETL)

Формат работы
remote (только Canada)
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Canada
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

PHP Data Developer (ETL): Developing and maintaining ETL pipelines and data processing tools for a spatial analytics application with an accent on large-scale data curation and pipeline optimization. Focus on building production-quality in-house tools using PHP and Python to handle vast datasets for research and marketing purposes.

Location: Must be based in Canada (100% Remote)

Company

hirify.global provides powerful spatial analytics and data visualization tools used by thousands of researchers in the United States and Canada.

What you will do

  • Design, develop, and test data processing tools and features.
  • Process large datasets through production data pipelines.
  • Write high-quality, clean, scalable, and maintainable code within a large shared codebase.
  • Contribute ideas for new data processing tools or improvements to existing workflows.
  • Collaborate with colleagues via code reviews and troubleshooting.

Requirements

  • 5+ years of professional software development experience.
  • 3+ years of experience working with large PHP codebases.
  • Proficiency in PostgreSQL and Python.
  • Comfortable using Linux CLI and Docker.
  • Advanced relational database and data manipulation skills.
  • Must be based in Canada.

Nice to have

  • Experience with geospatial demographic, business, marketing, or health data.
  • Experience with PostGIS.
  • Knowledge of data orchestration platforms such as Dagster, Airflow, or Prefect.
  • Experience with AWS or static analyzers like Psalm.
  • Familiarity with open-source GIS software (QGIS, GRASS).

Culture & Benefits

  • 100% remote work flexibility.
  • 20 personal days off and flexible working hours.
  • Quarterly professional development days to explore and share interests.
  • Collaborative work environment with a strong emphasis on TDD and continuous integration.
  • Human-centric hiring process (no AI used in candidate review).

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