Engineer

Skill: Test Engineer

• Developing configurable, maintainable, reusable, and dependable test components.

• Creating test approaches and understanding how a system works.

• Ensuring that test plans properly align with business requirements and are kept up to date.

• Designing, developing, and maintaining integration testing suite to ensure reusable common components meeting quality and security standards.

• API Testing.

• Data profiling included end to end starting with data ingestion and all related data tasks including test data creation.

• Develops, executes, and maintains complex test cases to ensure the system functions according to requirements and document defects with supporting documentation.

• Analyze moderate to complex problems to determine the root cause of the issue and conduct tests that will help in duplicating or troubleshooting.

• Data Validations.

• Assists with setup and maintenance of test environments; developing and maintaining metrics related to software testing and ongoing application performance; implementation, upgrades, and training of automated test management tools; research and evaluation of testing tools and frameworks; planning and development of test strategy and plans; and analyzing test process automation strategy and framework.

• Collaborating in Agile cross-functional teams to deliver solutions with high quality across different technical environments.

• Knowing credit decisioning platform and concepts is a plus.

Responsibilities:

• Hands-on experience in testing, masking test data based on the user scenarios/rules and building scripts to test data pipelines for a consumer banking ecosystem.

• Data validations using SQL, strong understanding of the relational database concepts and models.

• Experience building test scenarios that have used automated frameworks, tools, and strong SQL, data management concepts including data profiling, data mapping and data integration.

• Strong debugging/analytical skills including dissecting transformation rules, data inconsistencies, incompleteness of data.

• Demonstrated ability of working with various platforms such as Salesforce, Data Quality Platform.

• Experience working in a DevOps environment, Gitlab, and hands on experience using CI/CD systems preferred to enable test data pipeline.

• Quality Assurance Engineer methodologies and practices.

• Experience in REST APIs.

• Experience in Postman.

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