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QA-SQL at Veersa Technologies
Noida, Uttar Pradesh, India -
Full Time

Start Date

Immediate

Expiry Date

26 Sep, 26

Salary

0.0

Posted On

28 Jun, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Sql, Postgresql, End-to-end Data Validation, Ui Testing, Qa Methodologies, Agile, Scrum, Client Communication, Data Pipelines, Etl, Jira, Api Testing, Performance Testing, Test Case Design, Analytical Skills, Problem Solving

Industry

IT Services and IT Consulting

Description
We are looking for QA resources who can perform end-to-end data validation across the entire data flow from source systems, through transformation layers, to the final UI. Key Requirements: Strong proficiency in SQL with the ability to write queries for data verification. Good understanding of PostgreSQL databases. Hands-on experience in UI testing. Familiarity with data pipelines and validation checkpoints throughout the flow. Sound knowledge of QA methodologies, test case design, and best practices. Must be comfortable interacting directly with clients. Experience working in Agile/Scrum. Work Expectations: The resource is expected to be available for work and support between 10:00 AM and 9:00 PM. Travel time (from office to home) should be managed within this time frame. Qualifications 2-5 years of experience in software testing and quality assurance for SQL. Strong experience in Agile methodology. Exposure to working directly with US healthcare clients. Excellent verbal and written communication skills. Strong analytical and problem-solving abilities with attention to detail. Must-Have: Strong SQL (PostgreSQL), end-to-end data validation (source transformation UI), UI testing, QA methodologies, Agile/Scrum, client communication. Good-to-Have: Familiarity with data pipelines/ETL, automation tools, test management tools (e.g., JIRA), API/performance testing, prior client-facing project experience.
Responsibilities
Perform end-to-end data validation across the entire data flow from source systems through transformation layers to the final UI. Ensure data integrity and quality through rigorous SQL verification and UI testing.