Azure Data Engineer - Toronto - Astra North Infoteck Inc.

    Astra North Infoteck Inc.
    Astra North Infoteck Inc. Toronto

    2 days ago

    $80,000 - $135,000 (CAD) per year *
    Description

    Job Title: Azure Data Engineer – Big Data / Lakehouse

    Experience Required: 6–8 Years

    Work Model: Hybrid



    Role Overview

    We are seeking a skilled Azure Data Engineer with expertise in Big Data, Hadoop ecosystems, and modern lakehouse architectures. The ideal candidate will design, build, and maintain scalable data solutions on Microsoft Azure, develop data pipelines, and ensure data quality, security, and compliance across Azure platforms.


    Key Responsibilities

    • Design, build, and maintain scalable data solutions on Microsoft Azure.

    • Develop and manage ETL/ELT data pipelines using Azure Data Factory, Databricks, and related services.

    • Implement and maintain data storage solutions such as Azure Data Lake, Azure SQL Database, and Cosmos DB.

    • Ensure data quality, security, and compliance across all Azure data platforms.

    • Perform data integration, transformation, and migration tasks from multiple sources to Azure.

    • Monitor, troubleshoot, and optimize data workflows for performance and cost efficiency.

    • Collaborate with data architects, analysts, and business stakeholders to gather and understand data requirements.

    • Automate data processing and reporting tasks using Azure tools and scripting languages.

    • Document data processes, architectures, and best practices.

    • Stay updated with the latest Azure data services and recommend improvements or new technologies.


    Required Skills & Expertise

    • Big Data / Hadoop Ecosystems – Hands-on experience with large-scale data processing.

    • Microsoft Azure – Data services including Data Factory, Databricks, Data Lake, SQL Database, and Cosmos DB.

    • Strong knowledge of lakehouse architecture and modern data analytics.

    • Experience in data integration, transformation, and migration.

    • Familiarity with monitoring, troubleshooting, and optimizing data workflows.

    • Ability to collaborate with cross-functional teams and stakeholders.


    Preferred / Desirable Skills

    • Automation of data processing and reporting.

    • Strong documentation skills for data processes and architectures.

    • Knowledge of performance optimization and cost efficiency best practices.


    Experience Required

    • 6–8 years of relevant hands-on experience in data engineering, Big Data, and Azure cloud data platforms.


    * This salary range is an estimation made by beBee
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