Design, develop, and execute ETL testing using Postman, Rest Assured, or similar tools
Perform backend data validation by writing and executing SQL queries
Validate data flow and transformations across systems, including backend services
Execute test scenarios in Hadoop & Hive environment , including log verification
Collaborate with developers, product owners, and DevOps to understand requirements and deliver test coverage
Contribute to test plans, test reports, and defect tracking using tools like JIRA
Participate in exploratory, regression, and integration testing cycles
[If applicable] Validate Big Data workflows (e.g., Hive, Spark, HDFS) for data consistency and completeness
Good to Have
Exposure to Big Data testing using tools like Hive, Hadoop, HDFS, or Spark
2-3 years of experience in software QA/testing
Exposure to ETL testing
Familiarity with CI/CD tools (Jenkins, Bitbucket Pipelines, etc.)
Experience with automation frameworks or scripting (Python, Bash, etc.)
Knowledge of performance testing tools (JMeter)
Job Classification
Industry: Telecom / ISPFunctional Area / Department: Engineering - Software & QARole Category: Quality Assurance and TestingRole: Data / Big Data Testing EngineerEmployement Type: Full time