Job Description
Role: Senior Quality Engineer with BDD
Location: New York/Fort Mill SC
Mode: Hybrid
Duration: Full time
Job Description
We are seeking a skilled Quality Engineer with hands-on experience in Behavior-Driven Development (BDD) to ensure the quality and reliability of our data ingestion and pipeline solutions. The ideal candidate will collaborate with cross-functional teams to define, implement, and automate BDD test scenarios for complex data workflows.
Responsibilities
- Collaborate with product owners, data engineers, and business analysts to define acceptance criteria and BDD scenarios for data ingestion and pipeline processes.
- Design, develop, and maintain automated BDD test suites using frameworks such as Behave, Cucumber, pytest-bdd and Playwright for Ui validations.
- Validate data integrity, transformation logic, and end-to-end data flow from source to target systems.
- Identify, document, and track defects; work with development teams to resolve issues.
- Integrate automated tests into CI/CD pipelines for continuous quality assurance.
- Analyze test results, generate reports, and communicate findings to stakeholders.
- Contribute to test data management and environment setup for data pipeline testing.
- Stay current with industry best practices in data quality, test automation, and BDD methodologies.
Required Skills & Qualifications
- Bachelor’s degree in Computer Science, Engineering, or related field.
- 5+ years of experience in software quality assurance or test automation, preferably in data engineering environments.
- Strong experience with BDD frameworks (Behave, Cucumber, pytest-bdd, Playwright) and Gherkin syntax.
- Experience with Implementing Test Runners such as TestNG, Selenium WebDriver to run tests and document reporting and results.
- Proficiency in Python, Java or another programming language used for test automation.
- Solid understanding of ETL/ELT processes, data ingestion, and data pipeline architectures.
- Experience testing data transformations, data quality, and data integrity.
- Familiarity with relational databases (SQL), data warehouses, and cloud data platforms (e.g., AWS Glue) and Snowflake.
- Experience with CI/CD tools (e.g., Jenkins, GitHub Actions).
- Excellent analytical, problem-solving, and communication skills.
Preferred Skills
- Knowledge of data governance and data privacy best practices.
- Exposure to containerization (Docker, Kubernetes) and infrastructure as code.
