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Data Engineer (Azure)

65 000 - 100 000CAD
Формат работы
hybrid
Тип работы
fulltime
Грейд
middle
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

Data Engineer (Azure): Building, operating, and supporting data pipelines and analytics-ready datasets with an accent on cloud-based Lakehouse technologies. Focus on ingesting, transforming, and curating high-quality data to power reporting, advanced analytics, and AI-enabled use cases within a regulated enterprise environment.

Location: Hybrid model requiring three days per week of in-person presence in Canada

Salary: 65,000 – 100,000 CAD

Company

hirify.global Canada is a leading global insurance provider serving mid-sized and large companies with a 100-year history in the Canadian commercial market.

What you will do

  • Develop and maintain scalable data pipelines using Databricks on Microsoft Azure.
  • Implement data transformations using Python and SQL following engineering standards.
  • Support ingestion from diverse sources including APIs, event-driven feeds, and enterprise applications.
  • Design and maintain curated datasets within Lakehouse layers.
  • Perform data quality checks, anomaly detection, and reconciliations.
  • Collaborate with analytics, data science, and AI teams to enable downstream reporting and AI-assisted analytics.

Requirements

  • Must be based in Canada and able to work in a hybrid model (3 days/week in-office).
  • Bachelor’s degree in Computer Science, Engineering, Information Systems, or equivalent practical experience.
  • Hands-on experience with Python for data processing and automation.
  • Working knowledge of SQL for querying and transforming large datasets.
  • Familiarity with Microsoft Azure services and data engineering fundamentals (ETL/ELT, data modeling).
  • Exposure to Databricks or similar cloud data platforms.

Nice to have

  • Experience with Delta Lake or Lakehouse architectures.
  • Exposure to CI/CD concepts for data pipelines.
  • Familiarity with data governance, privacy, or regulated data environments.
  • Experience supporting production systems in a 24x7 enterprise environment.

Culture & Benefits

  • Comprehensive health and benefits plan.
  • Minimum of four weeks of vacation per year.
  • Four personal days per year for discretionary use.
  • Commitment to Diversity, Inclusion, Equity and Belonging (DIEB).
  • Access to a comprehensive range of training and development opportunities.

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