QE SDET Professional
Kanerika Software · Hyderabad · onsite · Posted 41d ago
Undisclosed2–5 yrsfulltimeSourced from
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About this role
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We are looking for a highly motivated and detail-oriented QE SDET professional with 5 + years of experience to join our Quality Engineering team. The ideal candidate will be responsible for building and strengthening automation frameworks, validating complex data pipelines, and ensuring high-quality releases across Conversational Analytics and platform features.
The role requires strong expertise in automation testing, ETL/data validation, Python scripting, and data pipeline testing.
Requirements
Requirements
What You Will Do:
- Develop, maintain, and strengthen the automation regression suite for Conversational Analytics features to support release-over-release quality validation.
- Design, execute, and maintain automated as well as manual test cases across reporting systems, data pipelines, and platform functionalities.
- Perform strong SQL-based data validation to ensure data accuracy, completeness, and consistency across ETL workflows and reporting layers.
- Validate ETL processes, data migration activities, and end-to-end data flow between systems.
- Collaborate closely with developers, product teams, and cross-functional engineering work streams to identify, track, troubleshoot, and resolve defects.
- Participate in sprint planning, test estimations, test execution, defect triaging, and sprint-level quality sign offs.
- Maintain test documentation, test plans, test cases, defect reports, and automation execution reports.
- Contribute to continuous improvement of QA processes, automation coverage, and testing standards. Required Skills Qualifications
- 5 + years of experience in Quality Engineering / SDET role.
- Strong experience in:
- Automation Testing- ETL Testing- Data Pipeline Testing- Data Migration Testing- Python Programming- SQL/Data Validation- Hands-on experience in developing and maintaining automation frameworks.
- Strong understanding of data validation techniques and ETL workflows.
- Experience working with large datasets and validating reporting/data analytics platforms.
- Experience working with large datasets and validating reporting/data analytics platforms.
- Strong understanding of data validation techniques and ETL workflows.
- Hands-on experience in developing and maintaining automation frameworks.
- Strong experience in:
- 5 + years of experience in Quality Engineering / SDET role.
- Contribute to continuous improvement of QA processes, automation coverage, and testing standards.
- Maintain test documentation, test plans, test cases, defect reports, and automation execution reports.
- Participate in sprint planning, test estimations, test execution, defect triaging, and sprint-level quality sign offs.
- Collaborate closely with developers, product teams, and cross-functional engineering work streams to identify, track, troubleshoot, and resolve defects.
- Validate ETL processes, data migration activities, and end-to-end data flow between systems.
- Perform strong SQL-based data validation to ensure data accuracy, completeness, and consistency across ETL workflows and reporting layers.
- Design, execute, and maintain automated as well as manual test cases across reporting systems, data pipelines, and platform functionalities.