Senior Data QA Engineer
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The Senior Data QA Engineer will be responsible for the testing and validation of data pipelines, and showcase to subject matter experts to learn whether it meets their business outcomes. You will be expert at working in cloud environments, such as on Hortonworks and Cloudera based Hadoop clusters. Assurance of data security and privacy in the platform will be relevant to the data pipelines you validate. You will draw on your experiences to engage in discussion with the technical design lead and other technical staff, recommending options for continuous improvements to testing methods.
Key Responsibilities
Validate software delivered by Data Engineers against user story requirements
Ensure principles of privacy and security are assessed and designed into your data solutions
Write high quality, generalised test datasets and test methods for verifying and validating new functional and non-functional software, enabling automated testing wherever possible
Generate golden datasets to efficiently stress-test software and assure version control
Report QA outcomes to Data Engineers and Business Owners
Work in an agile way and to do so closely with colleagues
Develop new and maintain existing functionality to QA testing for the Data Services platform
Provide documentation and training material to support knowledge retention
Maintain a high-quality audit trail of your software testing
Key Skills
Understanding of Quality Assurance data practices
Awareness of OWASP top 10 security considerations and associated tools
Hands-on experience writing unit tests and mocking the data
Hands on experience to analyse regression reports, automated builds and KPI's
Experience of Test-Driven Development applying pair programming and refactoring principles
Strong experience of writing BDD acceptance criteria or scenarios
Participated in full development data lifecycle
Knowledge of software development experiences
3+ years experience in one of JS/Java/C# programming languages and must have desire to develop strong experience in SQL/HQL for complicated queries
Automated test framework development from scratch using Python
Experience or at least keen interest in using big data technologies like PySpark/Yarn and Hive
Hands on experience with Linux and Microsoft Azure cloud environment or equivalent
Experience in using considerable data sizes (TB/PB)
Exposure to continuous build and deployment process, with hands on experience in using build systems such as Oozie/Jenkins
Familiar with defect management systems either using JIRA or similar
Willingness to constructively challenge the work of others, to ensure high standards are achieved
Experience of carrying out showcase acceptance demonstrations with your stakeholders
Proven experience of innovation and improving best practice