About the role

  • Design, develop, and manage data pipelines that facilitate extraction, transformation, and loading of data from diverse sources
  • Automate infrastructure provisioning and deployment using tools such as Terraform
  • Collaborate with Architecture, security, and risk teams to implement guidelines and Azure standard methodologies
  • Collaborate with business teams to suggest data solutions that align with business goals
  • Stay up to date with the latest tools and technologies to enhance data infrastructure
  • Learn and implement best practices of big data and cloud computing

Requirements

  • 3 to 4 years of relevant industry experience as Data Engineer
  • Good working knowledge on MS Azure services (SQL Queries, ADLS gen 2, ADF, Databricks, Synapse, SQL Server)
  • Experience in automating data pipelines and familiarity with DevOps and CICD pipelines
  • Good knowledge of data warehousing concepts and relational data modelling
  • Strong hands-on knowledge of Python, PySpark, and T-SQL
  • Experience crafting and developing scripts for ETL processes and automation in Azure Data Factory and Azure Databricks
  • Proficiency in GIT/Jenkins/dev ops processes to maintain and resolve issues with data pipelines in production

Benefits

  • Health insurance
  • Dental insurance
  • Mental health benefits
  • Vision insurance
  • Short- and long-term disability insurance
  • Life and AD&D insurance coverage
  • Adoption/surrogacy benefits
  • Wellness benefits
  • Employee/family assistance plans
  • Retirement savings plans (including pension)
  • Global share ownership plan with employer matching contributions
  • Financial education and counseling resources
  • Generous paid time off including holidays, vacation, personal, and sick days
  • Full range of statutory leaves of absence

Job title

Data Engineer

Job type

Experience level

Mid levelSenior

Salary

CA$75,880 - CA$140,920 per year

Degree requirement

Bachelor's Degree

Location requirements

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