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    Data Engineer - Toronto, Canada - SearchLabs

    SearchLabs
    SearchLabs Toronto, Canada

    1 week ago

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    Description

    Title: Data Engineer

    Type: Contract

    Location: Toronto

    Environment: Hybrid

    We are seeking a highly skilled and motivated Data Engineer to join our team. The ideal candidate will have extensive experience in designing, building, and maintaining scalable data pipelines and platforms using cloud-based technologies, particularly within the Microsoft Azure ecosystem. The role will involve collaborating closely with cross-functional teams to understand data requirements, architect solutions, and drive the implementation of best practices in data engineering.

    Key Responsibilities:

    • Design, develop, and deploy end-to-end data pipelines and ETL workflows using Azure Data Factory (ADF), Azure Synapse Analytics, and Databricks.
    • Collaborate with data scientists and analysts to understand data requirements and translate them into scalable and efficient data solutions.
    • Implement data governance and security best practices to ensure the integrity and confidentiality of sensitive data.
    • Automate infrastructure provisioning, configuration management, and deployment processes using Azure DevOps, Ansible, and HashiCorp products (Terraform, Vault, Consul, etc.).
    • Optimize data pipelines for performance, reliability, and cost-efficiency, leveraging advanced techniques such as partitioning, caching, and parallel processing.
    • Monitor and troubleshoot production data pipelines, ensuring high availability and uptime.
    • Stay abreast of emerging technologies and best practices in data engineering, continuously evaluating and recommending improvements to our data infrastructure.

    Qualifications:

    • Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
    • 5+ years of experience in data engineering, with a focus on building and optimizing data pipelines in a cloud environment.
    • Strong proficiency in Microsoft Azure cloud services, including Azure Data Factory, Azure Synapse Analytics (formerly SQL Data Warehouse), and Azure Databricks.
    • Hands-on experience with infrastructure-as-code (IaC) tools such as Azure DevOps, Ansible, or HashiCorp products (Terraform, Vault, Consul, etc.).
    • Solid understanding of data modeling, relational databases, and distributed computing principles.
    • Experience with containerization technologies (Docker, Kubernetes) and microservices architecture is a plus.
    • Excellent problem-solving skills and ability to thrive in a fast-paced, collaborative environment.
    • Strong communication skills and ability to effectively communicate technical concepts to non-technical stakeholders.

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