Role: Cloud Engineer
Location: Toronto, Canada (Hybrid)
Duration: 12+ Months Contract
Client: Cognizant / BFS
Job Description
The Treasury Analytics Group is responsible for measurement and management of market risk (interest rate and foreign exchange) for the Bank's retail portfolios. The team develops financial models and processes required for measuring, transfer pricing, hedging product profitability, and financial management reporting.
We 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 Boot
•Work 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 handling
Mandatory Skills:
•5 Years of experience with Spring Boot
•Hands-on experience working with Data Lakehouse architectures.
•Expertise in Spark Databricks for big data processing
•Strong proficiency in Python scripting
•Proficiency In scripting with Linux or PowerShell scripting
Nice to have skills:
•Experience with Azure SQL and ASE
•Knowledge on Event Hub, HashiCorp Vault or equivalent
•Experience with Azure Functions for serverless computing.
•Familiar with observability tools like Datadog
•Experience with Autosys for jobs scheduling.
Tools:
•Gradle, IntelliJ, GitHub, Jenkins
•Jira, Confluence
•Nexus
Thanks,
Karthick Ramasamy
Lead Technical Recruiter
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