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Senior Data QA Engineer

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Permanent
Digital, Data & Technology
-
United Kingdom & ROI
London
Up to £70,000.00
29.07.2019 04:50 PM
TK290719a

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

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