Automation Test Engineer - Data Analytics and Reporting

StradIT; Hyderabad; On-site; INR 600,000 - 900,000; Full time

Job summary

StradIT in Hyderabad, India, seeks a skilled QA/Test Engineer to drive automated testing across the stack. You will implement and maintain frameworks using Selenium with Java, Java EE, Spring Boot, and modern front-end tools like Angular 15+ and ReactJS, ensuring robust REST API interactions.

You will work with CI/CD pipelines (Git, Jenkins, Maven) and containerized environments (Docker/Kubernetes/OpenShift).

Qualifications

• Experience with Test Engineering methodologies and Test Automation Frameworks.
• Hands-on experience in software development/testing using Java, TypeScript, Java EE, Spring Boot, Angular 15+, ReactJS.
• Familiar with container technologies like Docker, Kubernetes, OpenShift.
• Experience in CI/CD tools like GIT, Bitbucket, Maven, Jenkins, Jira.
• Familiarity with Snowflake and SQL/PL-SQL for large-scale data platforms.
• Experience in financial services risk management and various securities.

Skills

Test Automation

Selenium with Java

Java

Java EE

Spring Boot

Angular 15+

ReactJS

REST API

PL/SQL

Tomcat

Docker

Kubernetes

OpenShift

CI/CD

Git

Jenkins

Maven

Jira

APIGEE

Snowflake

SQL

Data Warehousing

Financial Risk

Tools

APIGEE

Snowflake

OpenShift

Jira

Git

Job description

• 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,Tomcaton 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 infinancialservices industry primarily on Financial Risk management fordifferent typesof securities like equities, treasuries, Mortgage-backed securities.

• Strong knowledge of Data warehousing concepts andLargescale Data pipelines.