BDD Implementation with Quality (Data Ingestion & Pipeline) :::

Quality Engineer – BDD Implementation (Data Ingestion & Pipeline) Location: NYC, NY /Fort Mill, SC (Hybrid- 2-3 days) 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. • 12+ 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.