Job Title: Senior QA / Data Testing Engineer (ETL / Data Pipelines)

Experience Required: Senior-level (Hands-on + Lead capability)

Role Overview

We are looking for an experienced QA/Data Testing professional to take ownership of testing for data pipelines (ETL/ELT), build automation frameworks, establish testing standards, and eventually lead a small QA team as the function grows.

Key Responsibilities

• Own end-to-end testing for data pipelines and ETL processes.
• Design testing strategies and define what should be automated.
• Build SQL-based validations for:
• Data counts
• Duplicates
• Null checks
• Reconciliation checks
• Business rule validation
• Develop automation frameworks using Python/Pytest.
• Validate Excel outputs using Pandas & OpenPyXL.
• Validate XML outputs using lxml / XMLSchema.
• Perform API testing using Postman and automate using Newman.
• Integrate test automation with GitHub Actions / CI pipelines.
• Create meaningful logs, reports, and debugging mechanisms.
• Work closely with Data Engineers to improve quality and testability.
• Contribute to scaling QA practices and mentoring future team members.

Must-Have Skills

• Strong experience in ETL / Data Pipeline Testing
• Strong SQL knowledge with debugging capability
• Hands-on automation experience with:
• Pytest
• Pandas + OpenPyXL
• lxml / XMLSchema
• Postman + Newman
• GitHub Actions
• Databricks
• Ability to write clean, maintainable, reusable test code
• Experience creating automation frameworks from scratch
• Capability to work independently and make testing decisions

Good to Have

• Exposure to cloud data platforms / orchestration tools
• Experience with data quality tools (e.g., Great Expectations)
• Performance or volume testing experience
• Experience leading or mentoring QA teams