o Key Responsibilities:
o Test Planning and Design: Develop detailed test plans, test cases, and test scripts based on business requirements and technical specifications.
o Test Execution: Perform manual and automated testing of MI systems, including functional, regression, performance, and user acceptance testing.
o Defect Management: Identify, document, and track defects using defect management tools. Collaborate with developers to resolve issues.
o Data Validation: Validate data accuracy and integrity within MI systems, ensuring that reports and dashboards meet business needs.
o Reporting: Generate test reports and provide regular updates on test progress, defect status, and overall quality metrics.
o Collaboration: Work closely with business analysts, developers, and other stakeholders to understand requirements and ensure comprehensive test coverage.
o Continuous Improvement: Contribute to the continuous improvement of testing processes, tools, and methodologies.
o Skills and Qualifications:
o Technical Skills: Proficiency in SQL for data validation, experience with test automation tools, and familiarity with MI systems and reporting tools.
o Analytical Skills: Strong analytical and problem-solving skills to identify and resolve issues effectively.
o Attention to Detail: High level of attention to detail to ensure accuracy and completeness in testing.
o Communication: Excellent verbal and written communication skills to effectively collaborate with team members and stakeholders.
o Experience:
o Previous experience in a similar role, with a solid understanding of software MI testing methodologies and best practices.
o At least 4 years Testing with Microsoft Synapse /PowerBI built datawarehouses based on the Medallion Architecture
o At least 4 years MI testing automation and reconciliation experience
o Preferred Qualifications:
o Experience with specific MI tools and technologies(Devops Test Plans, SQL, PowerBI).
o Knowledge of industry standards and regulations related to data management and reporting.
o Role is crucial for maintaining the integrity & reliability of financial reporting, ensuring that they meet the needs of the business and support data-driven decision-making.
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