Note: The job is a remote job and is open to candidates in USA. IBM is a consulting and technology company helping clients advance their hybrid cloud and AI initiatives. The QA Engineer will design and execute data quality testing strategies for financial systems and data-intensive applications, plan testing activities, automate and execute test cases, and analyze outcomes to improve data quality and integrity.
Responsibilities
- Design and execute comprehensive data quality testing strategies for ETL, Big Data, and data-intensive applications, including BAO, MDM, and data migrations
- Plan and execute testing activities, estimate work efforts, create test cases, and identify test environment and test data requirements
- Utilize manual and automation solutions to execute test cases, report test status, and perform defect creation, triage, and resolution
- Analyze test outcomes for continuous improvements using analytical and cognitive techniques and tools
- Develop a deep understanding of business requirements and design optimized test scenarios to ensure data quality and integrity
Skills
- Bachelor's Degree
- • Experience in Core Banking System (FIS) in domains such as:
- • Deposits: DDA, savings, money market, CDs, IRAs- Lending: consumer loans, mortgage, home equity, auto loans
- • General Ledger: GL posting, balancing, reconciliation
- • ACH & Payments: ACH origination and receipt, wire transfers, bill pay
- • Data Quality Testing Experience: Experience with designing and executing comprehensive data quality testing strategies for ETL, Big Data, and data-intensive applications, including BAO, MDM, and data migrations
- • Business Requirements Understanding: Experience in developing a deep understanding of business requirements to design optimized test scenarios ensuring data quality and integrity
- • Test Planning and Execution: Experience with planning and executing testing activities, estimating work efforts, creating test cases, and identifying test environment and test data requirements
- • Test Automation and Analysis: Experience utilizing manual and automation solutions to execute test cases, reporting test status, and performing defect creation, triage, and resolution, as well as analyzing test outcomes for continuous improvements
- • Technical Tools and Techniques: Experience with analytical and cognitive techniques and tools for data quality testing and analysis
- • Data Migration Knowledge: Experience with data migration projects, including data quality testing and validation, is beneficial for this role. Familiarity with data migration tools and technologies can aid in designing and executing comprehensive data quality testing strategies
- • BAO and MDM Expertise: Experience working with Business Application Objects (BAO) and Master Data Management (MDM) systems can be advantageous in designing optimized test scenarios and ensuring data quality and integrity
- • Advanced Analytics Skills: Knowledge of advanced analytics and cognitive techniques can enhance the analysis of test outcomes for continuous improvements, although it is not a requirement for the position
Benefits
- Career development support
- This job can be performed from anywhere in the U.S.
Company Overview
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