TEST ENGINEER - Diverse Linx

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.