
Automation Professional
2 weeks ago
Key Responsibilities:
">- Design and develop automated scripts in Python to build and simulate a Golden Model within SQL Server.
- Create and validate synthetic test data using appropriate Python-based frameworks.
- Collaborate with cross-functional teams to gather data requirements and ensure adequate test coverage.
- Integrate automated tests into CI/CD pipelines to support continuous delivery.
- Identify, track, and document data-related defects and inconsistencies.
- Contribute to the design of reusable SQL-based test frameworks and strategies.
Required Skills & Qualifications:
- Strong hands-on experience in test automation, with a focus on data validation and transformation logic.
- Proficiency in Python, particularly in at least one of the following synthetic data generation frameworks: YData-Synthetic, SDV (Synthetic Data Vault), Gretel-Synthetics, SynthCity, DoppelGANger.
- Solid understanding of relational databases and data warehousing concepts.
- Experience in CI/CD environments and integrating test scripts into automated pipelines.
- Strong analytical and problem-solving abilities.
Nice to Have:
- Experience with GE Plant Applications.
- Familiarity with MS SQL Server.
Job Description
We are seeking a highly skilled professional to join our team. The ideal candidate will have strong experience in test automation focused on data validation and transformation logic, along with hands-on expertise in synthetic test data generation.
This role will support the development of a Golden Model simulation in a CI/CD environment, working collaboratively with data engineers, QA analysts, and DevOps teams to ensure high-quality data delivery.
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