Data Engineer (Ontario)

Data Engineer (Ontario)

06 Aug
|
Socket.dev
|
Ontario

06 Aug

Socket.dev

Ontario

Job Summary: 3-5 years as an Application Developer/Support with positive knowledge and understanding of Software Development Life Cycle, databases, batch processing, knowledge of firewalls, FTP, and SFTP. Experience in application production support, including logical thinking, organizational skills, and troubleshooting skills.
Azure cloud development and design working knowledge on the following items:
Azure App services: Web apps, API-Apps
Azure Network Security groups: To identify the NSG rules that are required to be allowed or denied
Azure monitor: To configure alerts on various metrics and analyze for troubleshooting
Azure data lake: Reading from and writing to different sources using Azure SDK/APIs/configuration
Azure data factory: Pipelines, data sets, linked services, integrated with Self-hosted integration runtime, mapping, authoring, and monitoring data flow
Azure SQL/Azure SQL MI: Azure SQL feature differences and SQL programming
Azure Function App: HTTP Triggered apps, Timer triggered apps
Azure Key Vault: Storing and retrieving secrets programmatically.
Writing and troubleshooting complex SQL queries and Stored Procedures is required
Working knowledge in partitioning, indexes, statistics, explain/execution plans,



etc
Experience in creating Power BI Reports and analytics is a plus
Experience building and integrating with external systems using REST API connectors is a plus
Knowledge and experience of using GIT and Azure DevOps
Ability to independently analyze, troubleshoot, and resolve technical issues
Strong problem-solving and communication skills
Ability to adapt to new technologies as required
PowerShell / Azure CLI scripting – Automation of routine tasks, deployment scripts, and production support troubleshooting.
Azure Log Analytics & KQL (Kusto Query Language) – Querying logs, diagnosing pipeline failures, and production incident investigation.
Application Insights – Tracing end-to-end request flows and identifying performance bottlenecks in APIs and Functions.
CI/CD pipeline authoring (YAML in Azure DevOps) – Building and maintaining build/release pipeline definitions, not just consuming them.
Infrastructure as Code (Bicep / ARM templates) – Basic ability to read, modify, and deploy infrastructure changes.
Production support is required for this role

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📌 Data Engineer (Ontario)
🏢 Socket.dev
📍 Ontario

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