Senior Test Engineer
fractal · Bengaluru ·
- Seniority
- Senior
- Category
- QA
acceptance-criteriaanalyticsautomationdata-analyticsdata-engineeringdata-ingestiondata-pipelineseltetlroot-cause-analysissql
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We're committed to bringing passion and customer focus to the business.
Role Summary
Mandatory:
SQL, Data Validation, ETL/Data Pipeline Testing, Test Strategy & Planning, Test Case Design, Data Analytics, Automation Testing, Stakeholder Collaboration, Defect Management.
Key Responsibilities
- Test Strategy & Planning
Define and implement comprehensive test strategies for data engineering and analytics solutions.
Develop test plans, test approaches, and validation frameworks aligned with project objectives and business requirements.
Identify testing scope, risks, dependencies, and mitigation plans.
Ensure appropriate test coverage across functional, integration, system, regression, and data validation testing.
- Test Design & Execution
Analyze business requirements and data specifications to create detailed test scenarios and test cases.
Execute functional, integration, regression, and user acceptance support testing activities.
Validate data transformations, calculations, aggregations, and business rules across data pipelines.
Ensure testing activities align with defined quality standards and acceptance criteria.
- Data Validation & Analytics Testing
Perform extensive SQL-based data validation and reconciliation across source and target systems.
Validate data accuracy, completeness, consistency, and integrity throughout the data lifecycle.
Verify KPIs, metrics, reports, dashboards, and analytical outputs against business expectations.
Analyze large datasets to identify anomalies, inconsistencies, and quality issues.
- ETL/Data Pipeline Testing
Test end-to-end ETL and ELT processes across data ingestion, transformation, and consumption layers.
Validate data movement across multiple systems and platforms.
Ensure data pipelines process information according to defined business and technical requirements.
Test error-handling, exception management, and data recovery scenarios.
- Defect Management & Root Cause Analysis
Identify, document, track, and manage defects throughout the testing lifecycle.
Perform detailed root cause analysis for data discrepancies and functional issues.
Collaborate with development and data engineering teams to resolve defects efficiently.
Verify fixes and support regression testing activities.
- Automation & Continuous Improvement
Identify opportunities to automate repetitive testing and data validation activities.
Contribute to the development and maintenance of automated test suites and validation frameworks.
Recommend improvements to testing processes, methodologies, and tools to increase efficiency and coverage.
Support quality engineering best practices and continuous testing initiatives.
- Stakeholder Collaboration
Work closely with Business Analysts, Data Engineers, Product Owners, and business users to understand requirements and expected outcomes.
Participate in requirement reviews, solution discussions, and testing workshops.
Communicate testing progress, risks, defects, and quality metrics to stakeholders.
Support user acceptance testing and production readiness activities.
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