Note: The job is a remote job and is open to candidates in USA. IBM is seeking a QA Engineer – Financial Systems to support client hybrid cloud and AI journeys through data quality assurance. The role designs and executes testing strategies for ETL, Big Data, financial systems, and data-intensive applications; plans testing activities; executes manual and automated test cases; manages defects; and analyzes outcomes for continuous improvement.
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
- This job can be performed from anywhere in the U.S.
- You’ll be encouraged to challenge the norm, explore new ideas, and create innovative solutions.
- Our culture of growth and empathy focuses on your long-term career development.
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