13 Aug
|
Ironbook AI
|
India
Job Title: QA Lead
Location: India (Remote)
Employment Type: Contract (1 Month)
Experience: 5–8 Years
Domain: BFSI (Banking, Financial Services & Insurance)
About the Role
We are seeking an experienced QA Lead with solid expertise in Data & AI
testing for Azure-based data platforms within the BFSI domain. The ideal candidate
should have hands-on experience leading end-to-end testing activities across ETL
pipelines, APIs, Power BI reports, and data validation while coordinating UAT and
release activities.
Key Responsibilities
Lead the QA function for Data & AI initiatives in Azure environments.
Design, review, and execute comprehensive test strategies, test plans, and
test cases.
Validate ETL pipelines, data transformations, and data migration processes.
Perform end-to-end data reconciliation and ensure data integrity across
multiple systems.
Conduct API testing for RESTful services using industry-standard tools.
Validate Power BI dashboards and reports for data accuracy, calculations,
filters, and performance.
Coordinate User Acceptance Testing (UAT)
with business stakeholders.
Manage defect lifecycle, including logging, tracking, prioritization, and
resolution.
Execute regression, integration, system, and release validation testing.
Collaborate with Data Engineers, BI Developers, Business Analysts, and
Product Owners.
Prepare QA reports, test metrics, and release sign-off documentation.
Ensure adherence to QA best practices, testing standards, and compliance
requirements within the BFSI domain.
Required Skills
ETL Testing
Data Reconciliation Testing
API Testing
Power BI Validation
UAT Coordination
Defect Management
Release Validation
SQL and Database Testing
Test Planning & Test Strategy
Regression, Integration & System Testing
Azure Data & AI platform exposure
Experience with Agile/Scrum methodology
Technical Skills
Strong SQL knowledge for data validation
Hands-on ex
📌 QA Lead (India)
🏢 Ironbook AI
📍 India