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2 дня назад

Data Engineer

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

Текст:
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TL;DR
Data Engineer (Python/SQL): Designing and scaling secure data platforms and ETL pipelines for business intelligence and data-driven decision-making with an accent on cloud data engineering, data architecture, and platform optimization. Focus on modernizing legacy systems, ensuring data quality and governance, and building resilient batch, streaming, and event-driven workflows.

Location: Remote, Gananoque, ON, Canada

Company

hirify.global is a global IT services and consulting company supporting digital transformation for enterprise and start-up clients across more than 25 countries.

What you will do

  • Design, build, and scale reliable ETL pipelines for complex data workflows.
  • Automate data ingestion from databases, APIs, and cloud platforms with resilience, fault tolerance, and failover readiness.
  • Optimize data storage, processing, and retrieval for performance, scalability, and cost efficiency.
  • Modernize legacy data systems and implement architectural improvements aligned with future business requirements.
  • Lead technical excellence through mentorship, code reviews, best-practice enforcement, and adoption of advanced tools and frameworks.
  • Establish data quality, integrity, governance, documentation, self-service analytics, training, and architecture roadmaps in collaboration with analytics, product, engineering, DevOps, and business stakeholders.

Requirements

  • 7+ years of IT experience, including 5+ years of hands-on Data Engineering experience.
  • Advanced proficiency in Python and SQL, with proven ETL pipeline development experience.
  • Experience with AWS, GCP, or Azure and cloud-native data engineering tools and services.
  • Strong understanding of modern data architecture patterns, including batch processing, streaming, and event-driven systems.
  • Ability to optimize data workflows, troubleshoot complex data issues, and ensure high performance, scalability, and reliability.
  • Strong project management skills, ability to work independently, manage priorities, and deliver high-quality outcomes in a fast-paced environment.
  • Bachelor’s degree in Data Engineering, Computer Science, Data Analytics, or a related field.

Nice to have

  • Master’s degree.
  • Experience with Snowflake, Redshift, BigQuery, Spark, Kafka, Airflow, or equivalent data orchestration tools.
  • Previous experience working with large-scale healthcare or insurance organizations.

Culture & Benefits

  • Remote work with a work-from-anywhere culture.
  • Health insurance, competitive compensation, and relocation support.
  • Certification programs, mentorship, internal mobility, and continuous learning opportunities.
  • Impactful projects with global clients in a multicultural, inclusive, and collaborative environment.
  • Regular team-building activities and social sustainability initiatives.

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