Data Quality Specialist

2 days ago


India beBeeAutomation Full time ₹ 5,00,000 - ₹ 8,00,000
Job Description

We are seeking a detail-oriented and highly skilled Test Automation Engineer to join our team. The role focuses on developing automated scripts in Python, creating and validating synthetic test data, and ensuring high-quality data delivery in a CI/CD environment.

The ideal candidate will have experience with GE Plant Applications and a strong understanding of relational databases and data warehousing concepts.

This is an excellent opportunity for a motivated individual to contribute to the development of automated tests and improve data quality.


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.

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.

Benefits
  • 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
  1. Test Automation with a focus on data validation & transformation logic
  2. Relational databases and data warehousing concepts
  3. Python-based synthetic data frameworks
  4. GE Plant Applications experience


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