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Azure Data Engineer (API+BI)

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Hybrid

Azure Data Engineer (API+BI)

Confiar Services

Azure Data Engineer (API+BI)

Skills

SQL QueriesData EngineeringPythonDatabricksData AnalysisPySparkPower BIAzure

2 months ago

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Important information


Contract type:

Freelance / Contract

Location:

Toronto, ON, Canada

Work mode:

Hybrid

Published on:

1 September 2026

What they need


Azure Data Engineer (API)

Location: Toronto, Ontario – Hybrid

Job Summary

We are seeking an experienced Azure Data Engineer with strong expertise in Azure Databricks, Business Intelligence, Python, and API development . The ideal candidate will be responsible for building scalable data solutions, developing APIs using Python, and supporting data integration and analytics initiatives.

Key Responsibilities

  • Design, develop, and maintain scalable data pipelines using Azure Databricks .
  • Develop and maintain Python-based APIs for data integration and application connectivity.
  • Build and optimize data processing, transformation, and integration solutions.
  • Collaborate with BI and analytics teams to deliver high-quality data solutions.
  • Work with Azure services to support data engineering and reporting requirements.
  • Ensure data quality, performance, reliability, and scalability.
  • Troubleshoot and resolve issues related to data pipelines and APIs.
  • Collaborate with cross-functional teams in an Agile environment.

Required Skills

  • Strong hands-on experience with Azure Databricks .
  • Strong knowledge of Business Intelligence (BI) and data analytics.
  • Strong programming experience in Python .
  • Proven experience building and consuming REST APIs using Python .
  • Experience with data pipelines, ETL/ELT, and data integration.
  • Good understanding of Azure cloud and data engineering concepts.
  • Strong problem-solving and communication skills.

Preferred Skills

  • Experience with Azure Data Factory (ADF) .
  • Knowledge of PySpark and SQL .
  • Experience with Power BI or other BI/reporting tools.
  • Experience working in Agile/Scrum environments.

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