Quality Analyst

Job Summary:

- We are seeking a Data Engineering Quality Assurance Engineer to ensure the integrity and reliability of our large-scale data engineering projects. The ideal candidate will have a solid foundation in data engineering concepts and experience in automated testing frameworks. You will play a critical role in maintaining the quality of our data pipelines and infrastructure, ensuring they meet the highest standards of accuracy and performance.

Key Responsibilities:

- Develop and implement automated testing frameworks to validate the performance and reliability of data pipelines and architectures.

- Work closely with data engineers to understand data workflows, schemas, and processing logic to create effective test cases.

- Identify, document, and track bugs and issues within data processes, collaborating with engineering teams to facilitate fixes.

- Perform both functional and non-functional testing, including performance, scalability, and stress testing.

- Monitor data processes and outputs for anomalies and deviations from expected patterns, initiating corrective actions without delay.

- Maintain documentation for QA processes and metrics, ensuring adherence to quality standards and compliance with regulations.

- Continuously update and refine testing strategies to incorporate new technologies and methodologies.

Desirable Skills:

- Experience with continuous integration/continuous deployment (CI/CD) practices and tools.

- Knowledge of advanced analytics and machine learning concepts to understand the data lifecycle fully.

- Certification in quality assurance or relevant fields.