QA Engineer Lead – Financial Systems (On-site TX)

IBM Consulting helps clients across industries advance their hybrid cloud and AI journeys through collaboration, technology, and innovative solutions. The QA Engineer Lead – Financial Systems will design and execute data quality testing strategies for financial and data-intensive applications, plan and perform testing activities, automate and analyze test outcomes, and manage defects to ensure data quality and integrity.

Responsibilities:

• Design Testing Strategies: Design and execute comprehensive data quality testing strategies for ETL, Big Data, and data-intensive applications, including BAO, MDM, and data migrations
• Plan Testing Activities: Plan and execute testing activities, estimate work efforts, create test cases, and identify test environment and test data requirements
• Execute Test Cases: Utilize manual and automation solutions to execute test cases, report test status, and perform defect creation, triage, and resolution
• Analyze Test Outcomes: Analyze test outcomes for continuous improvements using analytical and cognitive techniques and tools
• Optimize Test Scenarios: Develop a deep understanding of business requirements and design optimized test scenarios to ensure data quality and integrity

Requirements:

• 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
• Experience with designing and executing comprehensive data quality testing strategies for ETL, Big Data, and data-intensive applications, including BAO, MDM, and data migrations
• Experience in developing a deep understanding of business requirements to design optimized test scenarios ensuring data quality and integrity
• Experience with planning and executing testing activities, estimating work efforts, creating test cases, and identifying test environment and test data requirements
• 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
• Experience with analytical and cognitive techniques and tools for data quality testing and analysis
• Bachelor's Degree
• 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
• 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
• 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