Data Engineer

4 weeks ago

Toronto, Canada SearchLabs Full time
Job 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.


Requirements
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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