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...

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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