Role Proficiency:

Ensuring adherence to test practices and process to improve test coverage

Outcomes:

     Create Test Estimates and Schedules      Identify business processes conduct risk analysis and ensure test coverage      Ensure adherence of processes and standards      Produce test results defect reports test logs and reports for evidence of testing      Publish RCA reports and preventive measures      Report progress of testing      Contribute for Revenue savings for client by suggesting alternate method Quality of Deliverables

Measures of Outcomes:

Test Script Creation and Execution Productivity Defect Leakage Metrics (% of defect leaked % of UAT defects and % of Production defects) % of Test case reuse Test execution Coverage Defect Acceptance Ratio Test Review efficiency

Outputs Expected:

Test Design
Development
Execution:

Participate in review
walkthrough
demo and obtain sign off by stakeholder for Test Design Prepare Test summary report for modules/features

Requirements Management:

Analyse
Prioritize
Identify Gaps and create workflow diagrams based on Requirements/User stories

Manage Project:

Participate in Test management

Domain relevance:

Identify business processes
conduct risk analysis and ensure test coverage

Estimate:

Prepare Estimate
Schedule
Identify dependencies

Knowledge Management:

Consume
Contribute
Review (Best Practices
Lesson learned
Retrospective)

Test Design
Execution:

Test Plan preparation
Test Case/Script Creation
Test Execution

Test & Defect Management:

Conduct root cause and trend analysis of the defects

Test Planning:

Identify the test scenarios with understanding of systems
interfaces and application Identify end-to-end business critical scenarios with minimal support Create/Review the test scenarios and prepare RTM

Skill Examples:

     Ability to create and manage a test plan      Ability to prepare schedules based on estimates      Ability to track and report progress      Ability to identify test scenarios and prepare RTM      Ability to analyse requirement/user stories and prioritize testing      Ability to carry out RCA Ability to capture and report metrics

Knowledge Examples:

     Knowledge of Estimation techniques      Knowledge of Testing standards      Knowledge of identifying the scope of testing      Knowledge of RCA Techniques      Knowledge of Test design techniques Knowledge of Test methodologies

Additional Comments:

About the Role We are looking for a detail-oriented and proactive Quality Engineering (QE) Engineer to join our team. In this role, you will be responsible for ensuring the quality and reliability of our applications through automated testing and data validation processes. You will work closely with development, DevOps, and data teams in an Agile environment to deliver high-quality software. Key Responsibilities Design, develop, and execute automated tests using a BDD framework. Create and maintain automated test scripts using Python (Pytest). Integrate testing efforts with tools like Zephyr for test case management. Validate data pipelines and services built on AWS technologies (e.g., S3, Glue, Athena, DynamoDB, Airflow). Collaborate with developers and product managers to understand requirements and translate them into test cases. Perform test data generation using tools like GenRocket or similar. Analyze test results, identify bugs, and follow through on resolutions. Must-Have Skills Strong hands-on experience with Test Automation using BDD frameworks. Proficiency in Python automation frameworks (Pytest). Experience with Zephyr for test case management. Familiarity with key AWS services, including: S3 Glue Athena DynamoDB Airflow Good to Have Experience with test data generation tools, preferably GenRocket. Strong understanding of SQL and ability to write complex queries. Working knowledge of basic Unix/Linux commands. Nice to Have Experience using QuerySurge for data testing and validation. Strong data analysis skills to validate and interpret test outcomes.