You will be responsible for:
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Performing end-to-end testing of ETL and data workflows
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Validating extraction, transformation and loading processes
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Performing data reconciliation and cross-system validation
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Checking data quality, completeness, consistency and accuracy
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Identifying and analyzing discrepancies between source and target systems
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Validating complex data transformations and business rules
Test Planning & Execution:
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Analyze business and technical requirements
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Develop detailed test scenarios and test cases
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Create comprehensive test strategies
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Perform functional, integration, system and regression testing
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Monitor test coverage and quality throughout releases
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Ensure a structured end-to-end testing lifecycle
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Identify quality risks at an early stage and propose solutions
An important part of the role is performing advanced data analysis.
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Use advanced SQL for data validation
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Validate complex joins, aggregations and transformations
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Verify business rules within datasets
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Analyze source-to-target mappings
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Investigate data-related defects and inconsistencies
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Use SQL to identify the root cause of data quality issues
Where possible, you will contribute to further automation of data validation.
You will preferably work with:
You will develop and maintain reusable automation utilities and frameworks to improve the efficiency, reliability and scalability of the testing process.
Cloud & Data Platform Testing:
You have experience testing modern cloud-based data platforms.
Within this role, you will work with technologies including:
You will validate data pipelines and data processing solutions and ensure that different Azure services integrate correctly.
API & Integration Testing:
You will also be involved in testing data exchange between different applications and services.
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Perform API and integration testing
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Validate data exchange between systems
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Use tools such as Postman
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Verify the consistency and accuracy of data across different systems
You will be responsible for the complete defect lifecycle:
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Identifying and documenting defects
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Prioritizing and following up on issues
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Collaborating with development and integration teams
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Ensuring the correct closure of defects
Reporting & Stakeholder Management:
You will work closely with:
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Project and Program Management
You are able to clearly translate technical findings into concrete business impact for business stakeholders.
Quality & Risk Management:
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Proactively identify quality risks
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Develop and monitor mitigation measures
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Ensure QA standards and processes are followed
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Contribute to quality governance
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Promote continuous improvement in testing and data quality