Quality Engineer-Data
IBM · Bengaluru · onsite · Posted 7d ago
Undisclosed6–7 yrsfulltimeSourced from
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About this role
Your Role and Responsibilities:
As a Quality Engineer: Data, you will design and execute comprehensive data quality testing strategies for various data-intensive applications. You will develop a deep understanding of business requirements and design optimized test scenarios to ensure data quality and integrity.
Your Primary Responsibilities Will Include:
- 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.
Required Education:
Bachelor's Degree
Preferred Education:
Master's Degree
Required Technical and Professional Expertise:
- Data Quality Testing Exposure: Exposure to designing and executing comprehensive data quality testing strategies for ETL, Big Data, and data-intensive applications, including BAO, MDM, and data migrations.
- Test Planning and Execution Experience: Experience working with planning and executing testing activities, estimating work efforts, creating test cases, and identifying test environment and test data requirements.
- Manual and Automation Testing: Exposure to utilizing manual and automation solutions to execute test cases, report test status, and perform defect creation, triage, and resolution.
- Analytical Techniques Application: Experience applying analytical and cognitive techniques and tools to analyze test outcomes for continuous improvements.
- Business Requirements Understanding: Exposure to developing a deep understanding of business requirements to design optimized test scenarios ensuring data quality and integrity.
Preferred Technical and Professional Experience:
- Data Migration Knowledge: Exposure to data migration processes and technologies is beneficial for designing comprehensive data quality testing strategies.
- Big Data Testing: Experience working with Big Data testing tools and methodologies can be advantageous in executing data quality testing strategies.
- BAO and MDM Understanding: Familiarity with Business Analytics Optimization (BAO) and Master Data Management (MDM) concepts can aid in designing optimized test scenarios.
Years of Experience:6 - 7
Sourced from naukri
Skills
data qualityQuality EngineerTest CasesAutomationMDMManual and Automation testingtest dataBusiness RequirementsAnalyticsMaster Data ManagementcognitiveBusiness AnalyticsData MigrationETLBig DataAutomation Solutions
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