
Test Automation Engineer – GE Plant
2 weeks ago
Job Title: Test Automation Engineer – Data & Analytics
Location: 100% Remote (Nearshore or Offshore with 3–5 hours overlap with CST)
Start Date: Immediate
Max Bill Rate: [As applicable]
Position Overview:
We are seeking a detail-oriented and highly skilled Test Automation Engineer to join our Data & Analytics team. The role focuses on developing Golden Model simulations using Python, creating and validating synthetic test data, and ensuring high-quality data delivery in a CI/CD environment. Candidates must have experience with GE Plant Applications.
Key Responsibilities:
- Design and develop automated scripts in Python to create a golden model within SQL Server for test automation.
- Collaborate with developers and analysts to understand data requirements and ensure proper test coverage.
- Integrate testing into CI/CD pipelines to support continuous delivery and deployment.
- Identify, document, and track defects and inconsistencies in data.
- Contribute to test automation strategies and reusable SQL test frameworks.
Required Skills & Qualifications:
- Strong experience in Test Automation, particularly with data validation and transformation logic.
- Proficiency in Python, including frameworks such as:
- YData-Synthetic
- SDV (Synthetic Data Vault)
- Gretel-Synthetics
- SynthCity
- DoppelGANger
- Experience in CI/CD environments and integrating automated tests into pipelines.
- Solid understanding of relational databases and data warehousing concepts.
- MUST HAVE: Experience with GE Plant Applications.
- Nice to have: Experience with MS SQL Server.
- Excellent analytical and problem-solving skills.
Additional Notes:
- Candidates should be able to articulate SQL tables they have interacted with in GE Plant Applications during interviews.
- Immediate availability is required; long notice periods are not acceptable.
Skill Priority:
- Test Automation with a focus on data validation & transformation logic
- Relational databases and data warehousing concepts
- Python-based synthetic data frameworks
- GE Plant Applications experience
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