| Auckland Jobs |
| Canterbury Jobs |
| Northland Jobs |
| Otago Jobs |
| Southland Jobs |
| Tasman Jobs |
| Wellington Jobs |
| West Coast Jobs |
| Auckland Jobs |
| Canterbury Jobs |
| Northland Jobs |
| Otago Jobs |
| Southland Jobs |
| Tasman Jobs |
| Wellington Jobs |
| West Coast Jobs |
| Oil & Gas Jobs |
| Banking Jobs |
| Construction Jobs |
| Top Management Jobs |
| IT - Software Jobs |
| Medical Healthcare Jobs |
| Purchase / Logistics Jobs |
| Sales |
| Ajax Jobs |
| Designing Jobs |
| ASP .NET Jobs |
| Java Jobs |
| MySQL Jobs |
| Sap hr Jobs |
| Software Testing Jobs |
| Html Jobs |
| Job Location | Toronto, Ontario, M5A 3N7 |
| Education | Not Mentioned |
| Salary | $50-55 / Hourly |
| Industry | Not Mentioned |
| Functional Area | Not Mentioned |
| Job Type | Full time |
JD2 - Location: Toronto / ON Job Title: Cloud EngineerWe are seeking a skilled Cloud Engineer with expertise in Spring Boot, Data Lakehouse architectures and Spark Databricks. This ideal candidate will have strong scripting skills and experience working in cloud environments. You will play a key role designing, developing, and optimizing cloud-based applications while ensuring scalability, security, and performance.Key Responsibilities:Design, Develop and deploy Cloud based applications using Spring BootWork with Data Lakehouse architectures to optimize data processing and storage.Implement and manage Spark Databricks pipelines for data processing.Develop and maintain scripts using Linux or PowerShell for automation and system management.Collaborate with cross-functional teams to integrate cloud solutions.Strong understanding of Python syntax, data types, control structures, functions, and error handlingMandatory Skills5 Years of experience with Spring BootHands-on experience working with Data Lakehouse architectures.Expertise in Spark Databricks for big data processingStrong proficiency in Python scriptingProficiency In scripting with Linux or PowerShell scriptingNice to have skillsExperience with Azure SQL and ASEKnowledge on Event Hub, HashiCorp Vault or equivalentExperience with Azure Functions for serverless computing.Familiar with observability tools like DatadogExperience with Autosys for jobs scheduling.ToolsGradle, IntelliJ, GitHub, JenkinsJira, ConfluenceNexus