
Automation Engineer for Data Validation and Integration
6 hours ago
Job Summary:
We are seeking a detail-oriented and highly skilled Automation Engineer to develop automated scripts in Python, create synthetic test data, and ensure high-quality data delivery in a CI/CD environment.
The role focuses on designing and developing automated tests to validate and transform data, collaborating with developers and analysts to understand data requirements, and integrating testing into CI/CD pipelines to support continuous delivery and deployment.
Candidates must have experience with data validation and transformation logic, proficiency in Python, including frameworks such as YData-Synthetic, SDV (Synthetic Data Vault), Gretel-Synthetics, SynthCity, DoppelGANger, and experience in relational databases and data warehousing concepts.
Key Responsibilities:
- Design and develop automated tests in Python to validate and transform data within SQL Server.
- 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 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 data validation and transformation logic.
- 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 during interviews.
- Immediate availability is required; long notice periods are not acceptable.
Priority Skills:
- Data Validation and Transformation Logic
- Relational Databases and Data Warehousing Concepts
- Python-based Synthetic Data Frameworks
- CI/CD Environment Experience
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