Duties and Responsibility

  • Validate data pipelines/workflows delivered by Data Engineers and dashboards by the BI Engineers against user story requirements
  • Ensure principles of privacy and security are assessed and designed into the data solutions
  • Write high quality, generalised test datasets and test methods for verifying and validating new functional and non-functional data pipelines/ workflows and dashboards, enabling automated testing wherever possible
  • Generate golden datasets to efficiently stress-test software and assure version control
  • Report QA outcomes to Data Engineers, BI Engineers and Business Owners
  • Develop standard QA rules that would be applied across all data pipelines/workflows and dashboards
  • Maintain a high-quality audit trail of your data pipeline/workflow and dashboard testing
  • Manage and mentor junior members of the team
  • Create standards, conventions, processes, SLAs to reduce time and increase quality of delivery of the QA team
  • Evaluate different tools and technologies to be used by the team.

What are the requirements of the role?

  • Understanding of Quality Assurance data practices
  • Hands-on experience writing unit tests and mocking the data
  • Hands on experience to analyse regression reports, automated builds and KPI’s
  • Strong experience of writing acceptance criteria or scenarios collaboratively with other stakeholders
  • Participated in full development data lifecycle
  • Experience with SQL, Python, data modeling, ETL development, and data warehousing
  • Experience with AWS technologies including Redshift, Redshift Spectrum, Athena, Hive etc.
Job Location: Bangalore
Experience (Years): 3-6 Years

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