Earning Criteria

• Earner is an employee of IBM
• Demonstrated knowledge of IBM IGNITE Quality Engineering assets, methods and engagement practices with specific focus on Data Testing
• Demonstrated the value to clients of effective Test Data Management by: Designing and executing appropriate test cases using Big Data and ETL Testing; Designing and implementing the Test Data Management (TDM) framework in client engagements; Supporting and participating in Proof of Concepts; Contributing Test Data Management expertise to Requests for Proposals (RFP); Providing Training Sessions on Big Data and ETL
• Completed the following learning programmes: ETL Testing, Spark Fundamentals, Hadoop Hive, Map Reduce Essentials, Unix advanced, Optim / Grid / Informatica tool Test data management
• Completed five projects with minimal 3000 hours demonstrating core skills as defined in the GBS Progression & Promotion model
• Worked in Quality Engineering for a minimum of two years for at least 50% of their time
• Demonstrated the IT Development & Implementation skills criteria as defined in the GBS Progression & Promotion model
• Contributed to the evolution of the Data Testing by creating at least two assets e.g. Solutioning guidance, case studies, blogs, best practice, white paper, POV
• Coached at least two people through the process of adopting the Data Testing on separate client engagements
• Understand the importance of the IBM Way and how it relates to Quality Engineering activities
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