Senior Software Test Engineer
1 week ago
Role – Senior Test Engineer
Mode:- Full Time
Must have skills : Agile Methodology, STLC , API testing ,Test management tool like Q-test , HP-ALM, JIRA, Zephyr
Good if these skills : ETL, Kafka , Mongo DB or Sql, azure data lakes
Exp - 4 - 7years
Location: Bangalore/Hyderabad/Noida
NOTE: Candidates should be available for one round of F2F interview in office.
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.
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