QA Tester

Ample Success HR; India; Remote; INR 900,000 - 1,500,000; Full time

Job summary

Ample Success HR in India seeks a QA Tester to design and implement automated testing plans for the Athena Master Reference Data Platform, focusing on data pipelines, ETL validation, and end-to-end regression testing. You will work with Data Engineers to ensure data quality, integrate tests into CI/CD, and validate APIs and downstream systems, using Python, SQL, and industry-standard QA frameworks.

This role requires 4–5 years of hands-on experience in data-centric platforms, MDm or reference

Qualifications

• 4-5 years of experience in data-centric QA roles.
• Experience developing automated testing frameworks for data platforms (Python-based).
• Proven SQL data validation and backend testing on MDMD and data warehouse environments.
• Experience integrating automated tests into CI/CD pipelines (Azure DevOps, GitHub Actions).

Responsibilities

• Develop and maintain automated test scripts for data validation and ETL processes.
• Integrate automated tests into CI/CD to provide quick feedback on data quality.
• Collaborate with developers to define DoD and ensure coverage for new features and fixes.
• Create and execute comprehensive test plans for master data workflows and ETL processes.
• Perform data validation using SQL across environments to ensure data integrity.
• Collaborate with Data Engineers to identify, document, and track defects in Athena ecosystem.
• Build automated regression suites to support CI/CD cycles.
• Validate API endpoints and downstream data consumption points for seamless integration.
• Ensure data consistency across upstream/downstream systems, perform schema, payload, and contract validation.
• Design and execute test scenarios covering positive, negative, and edge cases.

Skills

Python

PyTest

Great Expectations

SQL

MDM

Reltio

Azure DevOps

GitHub Actions

Selenium

Robot Framework

Kafka

OpenSearch/Elasticsearch

Jira

Tools

Azure DevOps

GitHub Actions

Jira

Selenium

Robot Framework

Kafka

OpenSearch/Elasticsearch

Reltio

Job description

Role Purpose

As a QA Tester, you will ensure the integrity, accuracy, and reliability of the Athena Master Reference Data Platform, with a primary focus on designing and implementing automated testing plans. You will be responsible for designing and executing rigorous testing strategies for data pipelines, integration points, and platform functionality to ensure that master data remains a "single source of truth" for the organization.Integration, and end-to-end regression testing.

Responsibilities

• Develop and maintain automated test scripts specifically for data validation, ensuring ETL processes and data transformations meet business logic requirements.
• Integrate automated test suites into the CI/CD pipeline to provide immediate feedback on platform stability and data quality.
• Collaborate with developers to define "Definition of Done" criteria and ensure automated test coverage for all new platform features and bug fixes.
• Develop and execute comprehensive test plans and test cases for master data workflows and ETL processes.
• Perform deep-dive data validation using SQL to ensure data consistency, quality, and transformation accuracy across environments.
• Collaborate with Data Engineers and Architects to identify, document, and track defects within the Athena ecosystem.
• Build and maintain automated regression test suites to support continuous integration and delivery (CI/CD) cycles.
• Validate API endpoints and downstream data consumption points to ensure seamless integration with peripheral systems.
• Ensure data consistency, accuracy, and completeness across upstream and downstream systems
• Perform schema, payload, and contract validation between producer and consumer systems
• Design and execute test scenarios covering positive, negative, and edge cases

Requirements

• 4-5 years’ experience
• 4-5 years’ experience in developing automated testing frameworks for data-centric platforms (using Python, PyTest or Great Expectations)
• Strong proficiency in SQL for complex data analysis, validation, and backend testing.
• Proven experience in testing Master Data Management (MDM) and Reference Data platforms or large-scale data warehouse environments.
• Proven track record of implementing automated testing plans with Azure DevOps, GitHub Actions, or similar CI/CD environments
• Hands-on experience with automated testing frameworks (e.g., Py Test, Selenium, or Robot Framework) and Azure DevOps/Jira for defect management.
• Familiarity with Kafka / streaming data validation
• Exposure to OpenSearch / Elasticsearch for data validation and querying
• Experience with MDM platforms (Reltio preferred)