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Tier-1 employer, mid-level generalist role, and metro Hyderabad location increase competitive density.
QA automation for data pipelines is transferable but requires domain-specific data tooling knowledge.
Explicit 4+ years plus mandatory Robot Framework, Python, and AWS skills required.
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Own and evolve automated test suite covering 150+ end-to-end data ingestion integration scenarios in a cloud-native data platform.
Design, implement, and maintain Robot Framework test cases and Python keywords for data pipelines using AWS Glue, Apache Airflow, and Databricks.
Execute regression suites in CI/CD pipelines (GitHub Actions), triage pipeline failures, and contribute to test infrastructure and quality gates across releases.
4+ years of QA/test automation experience in data or backend engineering environments.
Strong skills in Robot Framework and Python 3.x for automation test development.
Practical experience with AWS services: S3, Glue, IAM roles, and CloudWatch logs.
Experience with CI/CD using GitHub Actions; familiarity with Jira and Xray for test and issue management.
Experienced in testing complex data ingestion pipelines and ETL processes with an emphasis on data quality and pipeline concepts (CDC, schema evolution).
Comfortable working within cloud-native, distributed data engineering platforms involving AWS, Apache Airflow, and Databricks.
Able to align testing efforts with documented requirements traceability and actively contribute to automation infrastructure and process improvements.