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5 дней назад

Data Engineer (Fintech)

115 000 - 130 000CAD
Формат работы
hybrid
Тип работы
fulltime
Грейд
middle/senior
Английский
b2
Страна
Canada
Вакансия из списка Hirify.GlobalВакансия из Hirify RU Global, списка компаний с восточно-европейскими корнями
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Описание вакансии

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TL;DR

Data Engineer (Fintech): Design, develop, and maintain scalable data pipelines and ETL/ELT workflows with an accent on data integration, quality, and security using Python, PySpark, SQL, Snowflake, and OpenShift. Focus on building reliable data solutions, optimizing data storage, and collaborating with data scientists and stakeholders in a financial services context.

Location: Hybrid in Mississauga, ON, Canada

Salary: CAD 115,000–130,000 per year

Company

Global consulting firm delivering digital solutions with expertise in AI, cloud, data, and software engineering, serving financial services and technology sectors worldwide.

What you will do

  • Develop and maintain scalable data pipelines and ETL/ELT workflows using Python, PySpark, and SQL.
  • Manage and optimize data storage solutions in Snowflake and Data Lakes.
  • Design and implement automated workflows with Azure Data Factory and manage containerized applications on OpenShift.
  • Integrate data from multiple sources ensuring quality, integrity, and security.
  • Collaborate with data scientists, analysts, and stakeholders to meet data requirements.
  • Monitor and troubleshoot data pipelines and maintain documentation of data architecture and best practices.

Requirements

  • Location: Must be able to work hybrid in Mississauga, ON, Canada
  • Proven experience in MDM projects, preferably in financial/investment banking sector.
  • Proficiency in Python, PySpark, SQL, Snowflake, Azure Data Factory, Kafka, and OpenShift.
  • Experience with CI/CD tools and practices such as Azure DevOps or Jenkins.
  • Strong problem-solving, analytical, and communication skills.
  • Understanding of data governance and security policies.

Nice to have

  • Experience with big data tools like Hadoop and Apache Airflow.
  • Knowledge of DevOps practices and other cloud data services.

Culture & Benefits

  • Multinational organization with 58 offices in 21 countries and opportunities to work abroad.
  • 15 days paid annual leave plus 10 days personal leave.
  • Comprehensive insurance including medical, dental, vision, life, and disability.
  • Flexible hybrid work policy.
  • Retirement savings plan with employer contribution.
  • Access to extensive learning resources and coaching opportunities.

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