Role Proficiency:

Performs tests in strict compliance independently guides other testers and assists test leads

Outcomes:

     Construct test scenarios based on customer user stories or requirements      Construct systematic test cases from scenarios for applications based on customer user stories or requirements      Execute systematic test cases from scenarios for applications based on customer user stories or requirements      Ensure that new or revised components or systems perform to expectation.      Ensure meeting of standards; including usability performance reliability or compatibility.      Document Test results and report defects      Facilitate changes in processes/practices/procedures based on lessons learned from the engagement Develop proficiency of other testers on the project

Measures of Outcomes:

Timely completion of all tasks # of requirement/user story ambiguities logged Requirements / User story coverage based on test cases/script # of test cases/script developed in comparison to the benchmarks # of test cases/script executed in comparison to the benchmarks # of valid defects

Outputs Expected:

Requirements Management:

Participate
Seek Clarification
Understand
Review

Domain relevance:

Test feature / component with good understanding of the business problem being addressed for the client Conduct gap analysis between requirement fitment and technology stack
using technology/domain expertise

Reporting:

Reporting the test activities of a small team including multiple testers

Estimate:

Estimate time
effort and resource dependence for work performed

Manage knowledge:

Consume
Contribute

Test Design
Development
Execution:

Identify testable scenarios and create test scenario document Update RTM Obtain sign off on test scenarios Basis (3) above
identify and create test cases and test data Smoke testing for system readiness check Execute test cases / scripts Identify
log and track defects Retest Log in productivity data

Skill Examples:

Ability to review user story / requirements to identify ambiguities Ability to design test cases / scripts as per user story / requirements Ability to apply techniques to design efficient test cases / script Ability to set up test data and execute tests Ability to identify anomalies and detail them

Knowledge Examples:

Knowledge of Methodologies Knowledge of Tools Knowledge of Types of testing Knowledge of Testing Processes Knowledge of Testing Standards

Additional Comments:

Job Description We are looking for a skilled Big Data QA Engineer to join our team and ensure the quality and reliability of our data processing pipelines. This role involves designing and executing both automated and manual tests for batch workflows, validating data integrity across transformation stages, and maintaining a robust Python-based test automation framework. The ideal candidate will have hands-on experience with AWS services, big data formats, and a strong understanding of testing methodologies in a data-centric environment. Preferred Skills and Experience: Design, develop, and execute automated and manual batch test cases for data processing pipelines. Validate data integrity and transformation logic across multiple stages of batch workflows. Monitor and troubleshoot batch job failures, performance issues, and data mismatches. Maintain and enhance Python-based test automation suite and framework. Evaluates system performance, reproduces issues, and works with development teams to resolve identified problems. Collaborates effectively with peers and management to improve application quality and testing processes. Minimum 4 years of experience with a focus on batch testing and data validation. Strong proficiency in Python for test automation and scripting. Hands-on experience with AWS services such as S3, Lambda, EMR, and Athena. Experience with data formats like JSON, Parquet, and CSV, and tools like Pandas and PySpark. Familiarity with version control systems (e.g., Git) and CI/CD tools (e.g., Jenkins, GitHub Actions). Solid understanding of software testing methodologies, including regression, integration, and system testing. Ability to analyze logs and metrics to identify root causes of failures. Experience working with agile methodology. Excellent verbal and written communication skills, and ability to collaborate with cross-functional teams.