Job Description

Job Summary

We are seeking an experienced Senior QA Engineer to lead quality assurance efforts across our Data & Analytics ecosystem. This role will be responsible for validating end-to-end data pipelines, data platforms, APIs, and analytics solutions through a combination of manual and automated testing practices. The ideal candidate will have strong expertise in SQL, API testing, Python-based automation, and data validation methodologies, with a proven ability to ensure data accuracy, integrity, and reliability across complex enterprise environments.

The successful candidate will be a proactive quality champion who can identify risks early, perform root cause analysis, establish testing best practices, and leverage emerging technologies—including AI-assisted testing capabilities—to improve efficiency and test coverage at scale. Familiarity with Master Data Management (MDM) concepts and modern test automation tools such as Playwright is highly desirable.

Key Responsibilities

Data Testing & Validation

• Validate end-to-end data ingestion, transformation, and data warehouse processing across batch and streaming workloads
• Design and execute functional test cases such as accuracy, completeness, consistency, and reconciliation for ETL/ELT data flows
• Perform testing across various data architectures, including Data Warehouses, Data Lakes, and Medallion Architectures

QA Strategy & Test Planning

• Develop comprehensive QA strategies aligned with project objectives and release timelines
• Identify and define appropriate testing approaches, including functional, integration, regression, system, performance, API, and user acceptance testing
• Create detailed test plans, test scenarios, test cases, and traceability matrices
• Establish quality gates and testing standards across Data & Analytics initiatives

Automation Testing

• Design, develop, and maintain automated test frameworks for data validation and application testing
• Build reusable automation solutions to reduce manual testing efforts and improve coverage
• Support regression testing and continuous quality validation across environments

API Testing

• Perform functional and integration testing of REST APIs using Postman and similar tools
• Validate API request/response structures, data integrity, error handling, authentication, and performance
• Automate API test execution and reporting where applicable

Performance & Load Testing

• Design and execute performance, load, and stress testing activities for data pipelines and applications
• Analyze system behavior under varying workloads and identify bottlenecks
• Validate scalability, stability, and responsiveness of solutions under production-like loads

Data Analysis & SQL Validation

• Develop complex SQL queries to validate source-to-target data movement and transformations
• Perform root cause analysis for data quality and testing issues
• Analyze large data sets to identify anomalies, inconsistencies, and performance concerns
• Support troubleshooting and defect resolution activities

Documentation & Quality Governance

• Maintain comprehensive testing documentation, test plans, execution reports, and defect logs
• Establish and promote QA best practices, testing standards, and governance processes
• Collaborate with cross-functional teams to drive continuous improvement in quality processes

Skill Requirements

• 8+ years of experience in Quality Assurance in Data & Analytics initiatives
• Strong expertise in SQL and Python for test automation, data validation, and quality engineering use cases
• Hands-on experience in API Testing using Postman or similar tools, including REST API validation, automation, authentication, and integration testing
• Experience designing and executing functional, integration, regression, system, UAT, and end-to-end testing
• Hands-on experience building and maintaining test automation frameworks for data and application testing
• Experience with performance, load, and stress testing methodologies and tools
• Exposure to AI-driven testing frameworks, generative AI, AI-assisted test automation, or intelligent quality engineering solutions
• Familiarity with Master Data Management concepts, data stewardship, and data governance practices
• Experience testing modern cloud data platforms such as Snowflake, Microsoft Fabric, Azure Data Factory, Synapse, Databricks, or similar
• Understanding of dimensional modeling, CDC, incremental processing, and enterprise data integration patterns
• Familiarity with CI/CD tools and version control platforms such as Azure DevOps, GitHub, or similar
• Strong analytical and problem-solving skills with the ability to investigate complex data and application issues
• Excellent communication, collaboration, and stakeholder management skills
• Good to Have
• Experience with Playwright for web application test automation

Working knowledge of Java for automation framework development and test scripting

Other Requirements

• Corporate office environment – fast-paced
• Operate with minimal supervision