Data - Azure Data Engineer

E-Solutions
Toronto, CA; US
On-siteCareer-pivot friendly

Why this role

Pace
Fast Paced
Collaboration
Medium
Autonomy
Medium
Decision Impact
Team
Role Level
Individual Contributor
Career Pivot Friendly
Welcomes transferable skills

What success looks like

  • Developed scalable applications
  • Extracted, transformed, and loaded data
  • Migrated data pipelines
Typical background
Data engineeringData pipeline development

Transferable backgrounds

Skills & requirements

Required

Azure DatabricksAzure Data FactoryGitHub Actions CI/CDPython FastAPITerraformSparkData pipeline developmentData storage

Preferred

Data managementData transformationData loading

Stack & domain

Azure databricksAzure data factoryGithub actions ci/cdPython fastapiRequestsTerraformSparkSql serverHadoop data lakeData engineeringCloud data storage

About the role

Role: Azure Data Engineer Location: Toronto, ON Duration: Contract Data Engineer who can develop, test, run, maintain, and migrate data pipelines. Essential skills include Azure Databricks, Azure Data Factory, GitHub Actions CI/CD, building APIs with Python FastAPI, and consuming APIs with requests. Terraform skills are a plus. Years - years of development experience in data engineering skills Strong experience in Spark. Understand complex data system by working closely with engineering and product teams. Develop scalable and maintainable applications to extract, transform, and load data inโ€ฆ

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