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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 & Roo

📌 Senior Test Engineer (Hyderabad)
🏢 Fractal Analytics
📍 Hyderabad