Назад
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5 дней назад

Data Engineer

125 000 - 170 000$
Формат работы
remote (только Canada)
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
US/Canada
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Data Engineer (ELT/Data Warehouse): Building and operating multi-source ELT pipelines and enterprise data warehouse infrastructure for massive-scale campaign data with an accent on reliability, performance, cost optimization, and production SLAs. Focus on designing petabyte-scale data systems, automating database operations, and integrating event data with internal business systems for data-driven decisions.

Location: Toronto, Canada (remote)

Salary: $125,000–$170,000 per year, plus potential bonus and benefits

Company

hirify.global provides content personalization through data-activated content generation and AI decisioning for global brands.

What you will do

  • Design, build, test, deploy, and maintain multi-source ELT pipelines while optimizing costs and meeting data SLAs.
  • Maintain and extend enterprise data warehouse infrastructure to improve performance and reduce manual work and incidents.
  • Aggregate, combine, and curate campaign and event data with internal business systems.
  • Collaborate with data platform, product engineering, analytics, and SRE teams to deliver reliable data products and services.

Requirements

  • 3+ years of experience as a Data Engineer.
  • Hands-on experience with columnar or OLAP databases at petabyte scale.
  • Experience operationalizing production data pipelines with monitoring, alerting, SLA dashboards, and runbooks.
  • Expertise with ELT tools such as dbt, Airbyte, or Flink and orchestration platforms such as Airflow or Dagster.
  • Strong programming experience with Python, Java, or SQL, plus Git, Agile development, CI/CD, and Infrastructure-as-Code tools such as Terraform or CloudFormation.
  • Technical understanding of Kimball and medallion data architectures.

Nice to have

  • Experience with APIs, Reverse ETL, and data contracts.
  • Significant AWS and AWS Managed Services experience, including Redshift, Aurora, Airflow, or Flink.
  • Familiarity with Tableau or other data visualization tools.
  • Experience managing data lakes with open-source formats such as Iceberg.

Culture & Benefits

  • Remote position based in Toronto.
  • Medical, financial, and other benefits are provided.
  • Inclusive workplace committed to equal employment opportunity and diverse perspectives.

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