Description

Primary Skills:

ETL & Data Pipeline Testing

ETL Workflows• Data Pipelines • Data Validation

• ETL Testing: Validates data accuracy across extraction, transformation, and load.
• Pipeline Integrity: Implement automated checks to monitor pipeline health, performance and error handling.
• Data Validation: Ensures schema, type, and business-rule conformance including data validation and reconciliation between source and target systems
• Databases : Knowledge of relational and non-relational databases with likes of MySQL, PostgreSQL, MongoDB, DynamoDB

Languages & Frameworks

JavaScript • Python• Pytest

• Core Languages: Proficient in JavaScript or Python for automation
• Test Frameworks: Hands-on with frameworks as Pytest or equivalent
• Framework Design: Build, scale, and maintain automation frameworks end-to-end

Cloud, Infrastructure & CI/CD

AWS • SQL• CI/CD Pipelines

• Cloud Exposure: Working knowledge of AWS/Azure services for test environments
• SQL Proficiency: Uses SQL to query, validate, and debug data confidently
• CI/CD Integration: Integrates test suites into Jenkins, GitHub Actions, GitLab CI, etc.

Secondary Skills:

UI & API Testing

UI Automation• REST APIs •Contract Testing • Playwright

• UI Automation: End-to-end browser testing across modern web applications with frameworks as Cypress, Playwright
• API Testing: Validates REST/GraphQL APIs for correctness and edge cases
• Cross-layer Coverage: Bridges UI and API layers for integrated test coverage
• Tooling: Experience with tools like Postman/Insomnia/Newman

Key Skills

Education

Any Gradute