Job Title : Senior QA Automation Consultant

About Oracle FSGIU - Finergy:

The Finergy division within Oracle FSGIU is dedicated to the Banking, Financial Services, and Insurance (BFSI) sector. We offer deep industry knowledge and expertise to address the complex financial needs of our clients. With proven methodologies that accelerate deployment and personalization tools that create loyal customers, Finergy has established itself as a leading provider of end-to-end banking solutions. Our single platform for a wide range of banking services enhances operational efficiency, and our expert consulting services ensure technology aligns with our clients' business goals

JD

Mandatory skillset

Programming Languages: Proficiency in SQL and Python (Robot framework) for writing automated tests and conducting data validation.Experience in Test automation frameworks (e.g., Selenium or Postman)Experience in Jira tool or any other Test management toolCloud Knowledge: Familiarity with AWS services (e.g., S3, EC2)Basic understanding of CI/CD tools like Jenkins, GitLab, AWS CodePipeline required.

 

 Responsibilities:

Develop and maintain automated test scripts using SQL and Python to validate data accuracy across banking platforms.Implement and manage test automation frameworks with tools like Selenium and Postman to streamline testing processes and improve efficiency.Utilize AWS services (e.g., S3, EC2) for testing and ensure applications perform optimally in cloud environments, focusing on scalability and reliability.Conduct security testing, ensuring adherence to secure SDLC practices and compliance with industry regulations.

 

Good to have:

Security Testing: Knowledge of SCAS, SAST, DAST/WAS, and experience within secure SDLC frameworks.Knowledge on Hadoop and its ecosystemData-Oriented Testing Skills: Experience with data warehousing and ETL processes, as well as quality management on platforms like Databricks.Knowledge in BI tool knowledge-Qliksense/IBM CognosTest Strategy Design: Expertise in creating test strategies for data governance, data lineage, and compliance testing.
• Cross-functional Collaboration: Demonstrated experience collaborating with data engineering, DevOps, and application development teams.