Senior Quality Assurance Engineer - Data & AI (Maharashtra)

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 up-to-date 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 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. 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. 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. 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. Roles and Responsibilities Ideal Candidate Profile - 610 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: - ETL/ELT Testing - Data Warehouse Testing - Data Migration Testing - Data Validation & Reconciliation - SQL & Database Testing - Functional & Regression Testing - Hands-on experience with one or more of: - Microsoft Fabric - Databricks - Azure Data Factory (ADF) - Azure Synapse - Informatica - Talend - SSIS - Strong SQL skills with experience validating complex transformation logic and source-to-target mappings. - Experience creating: - Test Strategy - Test Plan - Test Cases - Test Execution Reports - Defect Reports - 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. .