BI QA Engineer

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ABOUT YOU

πŸ“Remote - Germany

Job highlights

Summary

Join our BI-APP Team as a BI QA Engineer to ensure the quality and reliability of data pipelines and algorithms powering AY's recommendations, sorting, and search features.

Requirements

  • Practical experience with testing frameworks (e.g., Jest, Mocha, pytest) and testing APIs, ideally within data science or recommendation system contexts
  • Experience designing testing strategies for dynamic products with variable data inputs
  • Familiarity with CI/CD processes (e.g.Gitlab CI, Github Actions), ticketing systems (e.g., Jira), and monitoring tools (e.g. Datadog) is a plus
  • Strong analytical skills with proven experience using SQL and data analysis tools
  • Familiarity with data visualization tools and techniques
  • Proficiency in at least one modern object-oriented programming language, such as Python or JavaScript
  • Solid understanding of data warehousing concepts, ETL processes, and data quality principles
  • Highly structured and detail-oriented work style
  • Strong problem-solving skills with an adaptable mindset for a fast-paced environment
  • Excellent communication skills, including fluent written and spoken English for clear collaboration
  • Ability to work independently and manage time effectively
  • Proactive and self-driven, with a passion for data quality and a strong desire for continuous learning and growth

Responsibilities

  • Ensure the quality and reliability of the data pipelines and algorithms powering AY's recommendations, sorting, and search features
  • Design, develop, and execute test plans and test cases for various Products, focusing on data accuracy, algorithm performance, and user experience impact
  • Develop and maintain automated data quality checks, tests and monitoring systems
  • Contribute to the evolving data quality standards and best practices within the BIAPP team
  • Design, monitor and maintain QA reports, KPIs & quality trends for our internal data systems
  • Participate in post-mortem analysis of production issues to identify root causes and define QA measures to prevent future failures

Preferred Qualifications

You are familiar with CI/CD processes (e.g.Gitlab CI, Github Actions), ticketing systems (e.g., Jira), and monitoring tools (e.g. Datadog)

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