Quality Engineer-Data

International Business Machines Corporation; Bengaluru; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

International Business Machines Corporation in Bengaluru seeks a Quality Engineer: Data to shape data quality testing across ETL, Big Data, and data-intensive apps. You will design optimized test scenarios aligned with business requirements and drive data integrity in migrations, BAO and MDM contexts.

You will perform manual and automated testing, plan activities, estimate efforts, create test cases, report status, and triage defects to enable continuous data quality improvements.

Qualifications

• Experience in data quality testing for ETL and data migrations.
• Ability to design and execute comprehensive test strategies.
• Proficiency in analyzing and improving data quality outcomes.

Responsibilities

• Design testing strategies for ETL, Big Data, and data-intensive applications.
• Plan testing activities, estimate efforts, and prepare test data.
• Execute test cases using manual and automated approaches and log defects.
• Analyze results and drive continuous quality improvements.

Skills

Data quality

ETL testing

Big Data

Automation

Test planning

Tools

BAO

MDM

Job description

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.