Sr. Software Engineer in Test (Data Engineering)

What you can expect to do:  

• Collaborate with the team in analysis of business requirements to determine acceptance criteria. 
• Define acceptance tests for new features and execute them as part of a comprehensive test set. 
• Perform functional, integration and regression testing using both manual and automation methods at data level. 
• Design, develop and maintain automated tests and test suites to meet business and quality goals. 
• Contribute to the design and full development life cycle of our best-in-class cloud data platform, working on all parts of the data and analytics stack from ETL and Streaming data ingestion to the transformation, storage, and analysis of data from a variety of internal and external sources.
• Ensure comprehensive test coverage of new and existing product features. 
• Report and track defects, testing tasks and release notes. 
• Analyze defects to determine root cause, identify patterns and improve process. 
• Troubleshoot complex issues found in production, UAT or lower test environments. 
• Promote testing best practices within the team and help guide other team members. 
• Mentor Software Engineers in Test to allow for knowledge development through advice, coaching, and training opportunities.
• Work as part of an agile team in a collaborative environment.  

What we are looking for:  

• Solid programming experience with Python 
• Good experience using ETL test automation tools and API Testing tools like Postman, RestAssured, Supertest etc and 8 years working in an Agile test role (manual/automation). 
• Experience in building test automation frameworks for data flows and data transformations (source -> stage -> target). Strong bonus for non-functional testing experience around Performance and Security. 
• Experience in Python ETL testing frameworks like: boto3, pandas, unittest, etc..
• Familiar with AWS data lake/AWS S3 & source control tools like Git. 
• Comfortable working in a highly collaborative Agile environment using tools like Jira. 
• Strong experience of working in a Continuous Integration and Continuous Delivery environment. 
• Demonstrated experience with virtualisation/mocking technologies. 
• Familiarity with Cloud technologies.