Hybrid Data Engineer

Posted 2 weeks ago

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About the role

  • Design, develop, and manage data pipelines for data extraction, transformation, and loading
  • Collaborate with teams to understand and design data schemas
  • Continuously improve ETL processes for optimization
  • Implement data cleansing and transformation processes
  • Design testing plans and maintain data quality assurance
  • Work closely with technical resources for infrastructure improvements
  • Collaborate with business leads for data architecture implementation
  • Monitor data pipeline performance and solve issues
  • Ensure data governance and compliance throughout the data lifecycle

Requirements

  • Bachelor’s Degree in Computer Science, Information Technology, or related field
  • 5+ years of experience as a Data Engineer
  • Experience with Azure Data Factory, Databricks, Python/Pyspark, Java, Scala
  • Understanding of Azure infrastructure including RBAC, integrations with Azure AD, network concepts, and data protection
  • Experience deploying and integrating Azure Data Services using DevOps tools
  • Knowledge of Azure Data Lake Storage and its topology
  • Proficient in ETL/ELT logic and implementation with SQL in Azure services

Benefits

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

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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