





Mid-level QA role with common title and company brand, but requires multiple technical skills.
Testing fundamentals transferable, but DataStage and GCP specifics raise domain specialization moderately.
Multiple mandatory technologies (DataStage, GCP, Python, ETL, SQL) tighten screening.
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Design and execute test plans and automated scripts for UI, ETL, API, and GCP applications.
Validate IBM DataStage ETL workflows and perform source-to-target data validation using SQL.
Develop automation utilities and test scripts in Python and JavaScript, including REST API testing with Postman or Python frameworks.
Experience with IBM DataStage ETL, SQL, GCP services (BigQuery, Cloud Storage, Cloud Functions, Cloud Composer).
Proficiency in Python and JavaScript for test automation.
Knowledge of UI testing across browsers and REST API testing.
Work Experience Required: Not explicitly mentioned in the JD.
Experienced in automated testing for data pipelines and cloud services, particularly GCP-based solutions.
Skilled in both backend (ETL, APIs) and frontend (UI) quality engineering.
Capable of developing test automation frameworks and efficient testing utilities using Python and JavaScript.