You'll be instrumental in developing robust, scalable automated test frameworks to ensure the quality and integrity of our data pipelines and backend systems.

Mandatory Skills :

- Automation Testing (Expert Level)

- Python (Expert Level for Test Automation)

- Data Testing / ETL Testing

- Backend Testing / API Testing

- AWS (S3, Lambdas, MWAA, EMR Serverless)

Key Responsibilities:

- Automation Development: Design, develop, and maintain high-quality, scalable automation test frameworks and scripts primarily using Python to cover functional, regression, and performance testing.

Data and Backend Testing :

- Perform rigorous backend testing for complex applications and services, including validating business logic, data persistence, and performance.

- Focus heavily on data testing (ETL/ELT), ensuring data accuracy, completeness, transformation logic, and quality across data pipelines.

- Utilize Python and PySpark to write test cases and perform validation within a Hadoop environment with HDFS.

AWS Environment Testing :

- Develop and execute test strategies for applications integrated with key AWS services such as S3 (data storage), Lambdas (serverless functions), Managed Airflow (MWAA) (workflow orchestration), and EMR Serverless (data processing).

- Ensure the reliability and performance of data ingestion, processing, and output pipelines hosted on AWS.

Analysis and Problem-Solving :

- Demonstrate strong analysis and problem-solving capabilities to identify, debug, and trace complex defects within data and backend systems.

- Interpret data, recognize quality issues or production problems as they arise, and suggest and implement appropriate corrective actions.

Collaboration and Reporting :

- Work within an Agile framework (familiarity with agile ways of working is required).

- Communicate clearly, both verbally and via detailed specifications, test reports, and defect summaries.

- Maintain excellent organizational skills and demonstrate the capability of working to tight deadlines while maintaining a high level of accuracy.

Required Qualifications :

- Experience: A minimum of 5 years in a dedicated Software Quality Assurance or Test Automation role.

- Education: A Degree in Mathematics, Physics, Statistics, or a similar quantitative/technical discipline is highly preferred, OR previous substantial experience in a similar data-centric QA role.

Technical Expertise :

- Demonstrable expertise in Python for test automation.

- Practical experience in testing applications that use PySpark in a Hadoop/HDFS environment.

- Proven hands-on experience in testing solutions leveraging AWS services including S3, Lambdas, Managed Airflow (MWAA), and EMR Serverless.