QA Automation Engineers/SDET/Test Architect
- Hiring from
- India
- Work type
- Hybrid
- Posted
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Job Description and Must-Have Skillsets/Requirements: Experience with Test Engineering methodologies and Test Automation Frameworks and experience in Selenium with Java.
· Experience in API (Application Programming Interface) platforms like APIGEE.
· Hands on experience in software development/Test using Design Patterns, Java, typescript, Java EE, Spring Boot, Angular 15+ , ReactJS , JMS, REST API, PL/SQL ,Tomcat on OCP.
· Familiar developing and running applications in Windows and Linux environments and container technologies like Docker, Kubernetes, OpenShift will be a plus.
· Demonstrable experience in software development using CI/CD tools especially GIT, Bitbucket, Maven, Jenkins, Jira
· Familiarity working with large scale cloud data platforms like snowflake with hands on SQL and PL/SQL functions.
· Experience in financial services industry primarily on Financial Risk management for different types of securities like equities, treasuries, Mortgage-backed securities.
· Strong knowledge of Data warehousing concepts and Large scale Data pipelines.
Job Description and Must-Have Skillsets/Requirements: Experience with Test Engineering methodologies and Test Automation Frameworks and experience in Selenium with Java.
· Experience in API (Application Programming Interface) platforms like APIGEE.
· Hands on experience in software development/Test using Design Patterns, Java, typescript, Java EE, Spring Boot, Angular 15+ , ReactJS , JMS, REST API, PL/SQL ,Tomcat on OCP.
· Familiar developing and running applications in Windows and Linux environments and container technologies like Docker, Kubernetes, OpenShift will be a plus.
· Demonstrable experience in software development using CI/CD tools especially GIT, Bitbucket, Maven, Jenkins, Jira
· Familiarity working with large scale cloud data platforms like snowflake with hands on SQL and PL/SQL functions.
· Experience in financial services industry primarily on Financial Risk management for different types of securities like equities, treasuries, Mortgage-backed securities.
· Strong knowledge of Data warehousing concepts and Large scale Data pipelines.