Job Description :

About the Role :

We are seeking an experienced Senior Quality Assurance Engineer - Data & AI with strong expertise in ETL, Data Warehouse, and Big Data Testing to ensure the quality, reliability, and integrity of enterprise Data & AI solutions. The ideal candidate will have hands-on experience validating complex data ingestion pipelines, transformation logic, cloud-based data platforms, and analytics solutions built on technologies such as Microsoft Fabric, Databricks, Azure Data Factory, and modern Big Data ecosystems.

This role requires a quality leader who can define testing strategies, validate enterprise-scale data platforms, collaborate directly with customers, and mentor junior QA engineers while remaining hands-on in testing activities whenever required.

Key Responsibilities :

1. Data & ETL Testing :

- Design, develop, and execute comprehensive test strategies for enterprise Data Engineering, Data Warehouse, and Analytics solutions.

- Validate ETL/ELT pipelines, data ingestion frameworks, transformation logic, and end-to-end data movement across multiple systems.

- Verify data quality, completeness, accuracy, reconciliation, and business rule implementation.

- Perform source-to-target data validation and ensure consistency across enterprise data platforms.

- Test batch, incremental, and near real-time data processing pipelines.

2. Big Data & Cloud Platform Testing :

- Validate solutions built on Microsoft Fabric, Databricks, Azure Data Factory (ADF), Azure Synapse, or similar Big Data platforms.

- Test Lakehouse, Data Warehouse, and cloud-native analytics solutions.

- Validate large-scale structured, semi-structured, and unstructured datasets.

- Perform SQL-based validation and data profiling across enterprise datasets.

- Ensure data security, governance, and compliance requirements are met.

3. Quality Strategy & Test Management :

- Develop test strategies, test plans, test scenarios, and detailed test cases for enterprise data projects.

- Create risk-based testing approaches aligned with business priorities.

- Track testing progress and publish quality metrics, dashboards, and test execution reports.

- Manage defect lifecycle, root cause analysis, and quality improvements.

- Support User Acceptance Testing (UAT) and production validation activities.

4. Leadership & Stakeholder Collaboration :

- Lead testing activities across multiple workstreams while remaining an individual contributor when required.

- Mentor and guide junior QA engineers on testing methodologies and best practices.

- Collaborate with Business Analysts, Data Engineers, AI Engineers, Architects, and Product Owners.

- Communicate effectively with client stakeholders and participate in solution walkthroughs and status meetings.

- Drive continuous improvement of QA processes and enterprise testing standards.

Ideal Candidate Profile :

- 6-10 years of experience in Software Testing with a strong focus on ETL, Data Warehouse, and Big Data Testing.

- Proven experience testing enterprise Data Engineering solutions.

- Strong expertise in :

1. ETL/ELT Testing

2. Data Warehouse Testing

3. Data Migration Testing

4. Data Validation & Reconciliation

5. SQL & Database Testing

6. Functional & Regression Testing

- Hands-on experience with one or more of :

1. Microsoft Fabric

2. Databricks

3. Azure Data Factory (ADF)

4. Azure Synapse

5. Informatica

6. Talend

7. SSIS

- Strong SQL skills with experience validating complex transformation logic and source-to-target mappings.

- Experience creating :

1. Test Strategy

2. Test Plan

3. Test Cases

4. Test Execution Reports

5. Defect Reports

6. Quality Dashboards

- Familiarity with API testing using Postman or similar tools.

- Experience with Azure DevOps, Jira, Git, and Agile/Scrum delivery methodologies.

- Excellent communication and stakeholder management skills.

- Experience leading small QA teams while remaining hands-on in delivery.

Preferred Qualifications :

- Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, or related field.

- ISTQB Foundation/Advanced Certification preferred.

- Microsoft Azure Fundamentals (AZ-900) or Data certifications are advantageous.

- Exposure to automation testing using Selenium, Playwright, or similar frameworks.

- Experience testing AI, Analytics, or Business Intelligence solutions is a plus.