12 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 strong 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 experience with ETL testing tools and data warehouse validation
API testing using Postman or similar tools
Power BI report validation and data verification
Azure Data Factory (ADF) exposure
Azure SQL Database / Synapse Analytics exposure
Azure DevOps or Jira for test management and defect tracking
Version control and CI/CD validation experience is preferred
Domain Experience
Mandatory experience in the BFSI (Banking, Financial Services &
Insurance) domain.
Understanding of banking data models, financial reporting, regulatory compliance, and data governance is highly preferred.
Required Qualifications
Bachelor’s degree in Computer Science, Information Technology, or a related discipline.
5–8 years of experience in Software QA with solid experience in Data
Warehouse/ETL testing.
Proven experience leading QA activities for enterprise data projects. Excellent analytical, communication, stakeholder management, and problem-
solving skills.
Preferred
Certifications
ISTQB Certified Tester (Preferred)
Microsoft Azure Fundamentals (AZ-900) or relevant Azure certification
Azure Data Engineer Associate (DP-203) is an added advantage
📌 QA Lead (BFSI Domain - Contract Role) (India)
🏢 Ironbook AI
📍 India