About the Position
We are looking for a Senior AQA Developer with strong experience in data validation and test automation to support a large scale data driven platform. In this role, you will focus on validating complex data pipelines, ensuring data accuracy and consistency, and contributing to high quality engineering practices across the project.
About the Project
Data Quality Platform is a solution focused on ensuring reliability, correctness, and integrity of enterprise data flows. The project supports data ingestion, transformation, and analytics by applying robust automated quality controls and validation processes across multiple data sources.
About the Team
You will work as part of a cross functional engineering team that includes data engineers, backend developers, and quality assurance specialists. The team collaborates closely using agile practices and shared ownership of quality across the delivery lifecycle.
Responsibilities
- Design and develop automated tests for data validation, data governance and data quality checks
- Validate data pipelines including ingestion, transformation, and storage layers
- Create test strategies and test cases for complex data scenarios
- Implement test automation using TypeScript and Python
- Collaborate with data engineers and developers to identify data issues early
- Analyze data discrepancies and clearly document findings
- Contribute to continuous improvement of QA processes and tooling
- Support integration of automated tests into CI CD pipelines
Requirements
- Senior level experience in quality assurance or test automation roles
- Hands on experience with data validation and data quality testing
- Strong programming experience with TypeScript and Python
- Experience validating large datasets using SQL and automated scripts
- Understanding of data pipelines, ETL or ELT processes
- Experience working with APIs and backend services
- Familiarity with CI CD pipelines and test automation integration
- Ability to collaborate effectively in distributed engineering teams
Nice to Have
- Experience with cloud based data platforms
- Exposure to data engineering or analytics environments
- Experience testing microservices or data intensive systems
- Knowledge of version control systems such as Git
Technologies
TypeScript, Python, automated testing frameworks, SQL, data validation frameworks, REST APIs, CI CD pipelines, cloud based data platforms
