Key Responsibilities :
- Design and implement test automation frameworks for backend data validation, including RDBMS, flat files, Kafka, and Big Data systems
- Perform Big Data and ETL automation testing using HiveQL and other big data technologies
- Conduct automated validation on data transformation pipelines and ensure data accuracy across sources and targets
- Develop and execute SQL queries and shell scripts for testing and validation tasks
- Work in Agile / Scrum teams using tools like Jira, ALM, and Confluence
- Participate in defect management and maintain comprehensive documentation of issues through their lifecycle
- Ensure adherence to QA best practices and contribute to test strategy and planning
- Collaborate with development and business teams to understand requirements and deliver high-quality data validation
- Provide employment proof at the time of submission, as per project compliance needs
Good to Have :
Knowledge of data comparison automation for data transformation validationExperience in end-to-end defect lifecycle managementStrong understanding of testing methodologies, SDLC, and STLCExperience in client interaction and test team leadershipSkills Required
Sql, Python, Etl Tools, Data Warehousing, Automation Scripting