Data QA Engineer - Remote
Zyte (company site, opens in a new tab)5+ yrsBengaluruRemoteDirect career pageEst. 10–18 LPA
Posted 1d ago
Reach people at Zyte
People at this company you can reach
Log in to see who works here
Create a free account or log in to see the people at Zyte you could write to:
- Recruiters & HR
- People in this function
- Work addresses
Your match
Against your primary resume
Log in to see your match score
Create a free account or log in to unlock your CV match score across:
- Role fit
- Experience
- Industry relevance
Protocol Intelligence
How competitive this role is
Competition
Background fit
Strictness
Log in to see why each signal reads the way it does.
Job description
Structured overview of role & requirements
About This Role
- Own QA from project start: translate customer data-extraction requirements into test approaches and clarify what can be tested.
- Validate spider- and AI-assisted extracted data using exploratory, visual and cost-effective automated testing; assess completeness, accuracy, consistency and drift.
- Report quality scores, defects, test coverage and remaining risks clearly; improve QA processes, tooling and automation coverage/performance.
Minimum Requirements
- Work Experience Required: 5+ years in a QA Engineer or similar role, testing software or data.
- Python is the preferred language; experience with Pandas and Jupyter for data analysis and validation, plus basic-to-intermediate SQL and a relational database.
- Knowledge of HTML, XPath, JSON, HTTP and CSS, and experience testing HTTP/REST APIs.
- Understanding of data quality concepts and experience working in an Agile team (Scrum or Kanban).
Ideal Candidate Profile
- Has a data-quality testing focus and can use statistics, summaries and charts to assess extracted data and explain its quality.
- Can take QA ownership early, turn ambiguous customer requirements into testable criteria, and document reproducible defects and residual risks.
- Fits a delivery environment working with project managers, clients and developers with minimal supervision; scraping-framework or test-automation experience is a plus.