Назад
Company hidden
8 часов назад

Senior Data Engineering

100 000 - 146 300CAD
Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Canada
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
Для мэтча и отклика нужен Plus

Мэтч & Сопровод

Для мэтча с этой вакансией нужен Plus

Описание вакансии

Текст:
/
TL;DR
Senior Data Engineering (Snowflake/Python/SQL): Building and maintaining enterprise data pipelines, analytical datasets, and processing frameworks with an accent on Snowflake, data quality, automation, and scalable self-service analytics. Focus on optimizing warehouse costs, engineering reliable ingestion and transformation workflows, and translating technical data designs into business-ready solutions.

Location: Toronto, ON, Canada; flexible European working hours may be required. In-person onboarding and/or identity verification may be required.

Salary: CAD 100,000–146,300 annual base salary for Canada-based roles; offers may exceed this range.

Company

hirify.global develops software that helps create buildings, cars, factories, and films.

What you will do

  • Design, develop, test, and maintain data pipelines for extracting, transforming, cleaning, aggregating, and loading data into Snowflake and Hive.
  • Build scalable analytical datasets and data-processing framework components in coordination with data analysts and stakeholders.
  • Optimize workflows, ETL processes, warehouse usage, and Snowflake costs.
  • Develop data-quality, durability, monitoring, automation, CI/CD, and self-service mechanisms.
  • Create tools for analytics and BI teams and support downstream data consumers with reliable data assets.
  • Evaluate data technologies and translate technical designs and business requirements into effective data services.

Requirements

  • Bachelor’s degree in computer science, information systems, or a related discipline.
  • 5+ years of experience as a data engineer.
  • Hands-on experience with Snowflake utilities, SnowSQL, Snowpipe, and Snowflake cost optimization.
  • Strong programming skills in Python and SQL, with experience building modular and maintainable code.
  • Experience with Airflow, dbt, Git, and big-data technologies such as Hive, Spark, and Presto.
  • Strong analytical, problem-solving, interpersonal, organizational, and Scrum skills, plus basic knowledge of LLMs and AI development tools such as GitHub Copilot.

Nice to have

  • Experience with CI/CD and Jenkins.
  • Basic knowledge of Power BI and AWS services such as S3, Lambda, Glue, and CloudWatch.
  • Experience working with remote teams across multiple time zones.
  • Self-guided learning ability and strong attention to detail.

Culture & Benefits

  • Work focused on trusted data assets, scalable self-service analytics, and data-driven decision-making.
  • Comprehensive benefits package.
  • Potential annual cash bonuses and stock grants, depending on the role and offer.
  • Culture centered on belonging and meaningful work.

Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →