Data Quality Assurance Engineer (Manual Validation & Monitoring)

Fetcherr experts in deep learning, e-commerce, and digitization, Fetcherr disrupts traditional systems with its cutting-edge AI technology. At its core is the Large Market Model (LMM), an adaptable AI engine that forecasts demand and market trends with precision, empowering real-time decision-making. Specializing initially in the airline industry, Fetcherr aims to revolutionize industries with dynamic AI-driven solutions.

We’re seeking a Data Quality Assurance Engineer to join our Price Optimization Department and help us ensure the accuracy and reliability of mission-critical data that powers our AI-driven models. In this role, you will be responsible for validating data pipelines, monitoring data quality, and investigating anomalies to uncover root causes. You will collaborate closely with data engineers, scientists, analysts, and product teams to safeguard the consistency and trustworthiness of our data. The ideal candidate will have a

strong foundation in SQL and large-scale data systems, experience in testing and validating data pipelines, and the ability to thrive in a fast-paced, rapidly changing environment.

Key Responsibilities

• Full ownership of data validation practices (define validation rules, implement tests, and set quality standards)
• Production support (SRE) for price optimisation pipelines: react on alerts, report issues
• Release testing and validation: e2e data and quality checks on across specified environments
  
  

• 4+ years of hands-on experience in Data Quality Assurance or similar role
• Strong SQL and OLAP databases proficiency (must) [BigQuery – plus, ClickHouse – strong plus]
• Solid understanding of ETL/data pipeline testing and Big Data platforms (must)
• Experience working with Jupyter Notebooks or similar Python-based debugging environments (e.g., VS Code interactive mode) – strong plus.
• Familiarity with Dagster (strong plus)
• Python for scripting/basic automation (good plus)
• GCP experience (good plus)
• Exposure to test management or defect tracking tools
  
  

• Ability to deliver against aggressive timelines in a very dynamic startup environment (must)
• Ability to manage stress and remain effective under pressure (good plus)
• Flexibility to adapt to changing project demands (occasional paid overtime may be required) (good plus)
• Knowledge of the airline industry (pricing, revenue management) (strong plus)
• Experience working within Agile methodologies