We are looking for a QA Analyst with strong technical skills to validate data pipelines, backend systems, and integrations. In this role, you will perform automation, data validation, performance, and end-to-end testing across modern data platforms. You will analyze requirements, design test scenarios, build test data workflows, and maintain regression suites to ensure data accuracy, reliability, and system compatibility.
Key Responsibilities
- Validate ETL/ELT pipelines, data transformations, schema, and mappings.
- Perform data quality checks (accuracy, completeness, consistency, timeliness).
- Test API integrations and validate data flow across systems.
- Support testing of batch, streaming, and event-driven pipelines.
- Create automation and data validation scripts using Python.
- Execute regression, smoke, and integration testing.
- Conduct performance and load testing using JMeter.
- Identify defects, negative scenarios, flaky tests, and root causes.
- Improve test coverage and automation frameworks.