Role – Senior Test Engineer

Must have skills : Manual QA with Automation experience, Agile Methodology, STLC , API testing ,Test management tool like qtest

Good if these skills : ETL,kafka , Mongo DB or sql, azure datalakes

JD:

Manual Testing Concepts: Test Case Design: Writing detailed test cases for functional and non-functional testing (e.g., performance, load). Testing Types: Proficiency in functional testing, integration testing, regression testing, user acceptance testing (UAT), exploratory testing, and smoke testing. Defect Lifecycle: Understand how to track and manage defects, including the defect lifecycle (e.g., from identification to closure), and the agile defect management process. Bug Tracking Tools: Familiarity with tools like Jira, Azure DevOps, and other defect management systems. Agile Testing Practices: Understanding of Agile SDLC, Agile testing methodologies, and practices such as TDD and BDD. Knowledge of tools like Jira, Azure DevOps, and Trello for managing tasks and stories. Ability to work in sprints, daily stand-ups, retrospectives, and test case design within Agile teams. Domain Knowledge (Application Areas):   Kafka: Manual testing of Kafka messaging queues, verifying message flows, and checking data integrity. MongoDB: Testing NoSQL databases—validate data in collections, verify document schema, and check for data integrity and consistency. Databricks: Manual testing of big data pipelines, verifying data processing steps, and validating output on Databricks. Azure Data Lake Storage (ADLS): Understanding how to manually validate data stored in ADLS, including data quality checks. Appian BPM: Familiarity with Appian BPM—manual testing of workflows, process integration, and user interactions. API Testing: Manually testing REST APIs using tools like Postman—checking responses, headers, status codes, and ensuring data is correct. File Handling: Manual testing for file uploads, downloads, and validating content from files (e.g., CSV, JSON). Troubleshooting Skills: Ability to troubleshoot failures in web applications, APIs, Kafka, Databricks, MongoDB, ADLS, and Appian. Familiar with debug logs, identifying errors in data integration, system performance, and workflows. Test Reporting and Documentation:   Ability to document test cases and test execution reports. Test result analysis and defect reporting.