Role Overview

We are seeking a highly motivated and detail-oriented Test Engineer with 6+ years of experience in Quality Assurance, Test Automation, and Data Validation. The ideal candidate will be responsible for ensuring the quality, reliability, and performance of enterprise-grade applications and data platforms. Exposure to Databricks-based data engineering environments is preferred.

The role requires strong expertise in test planning, automation frameworks, API testing, database validation, defect management, and collaboration with cross-functional teams in Agile environments.

Roles and Responsibilities

- Design, develop, and execute comprehensive test strategies, test plans, and test cases for web, data, and enterprise applications.
- Build and maintain automated test frameworks to improve testing efficiency and release quality.
- Perform functional, regression, integration, system, API, and end-to-end testing activities.
- Validate data pipelines, ETL processes, and data quality across source and target systems.
- Work closely with Developers, Data Engineers, Business Analysts, and Product Owners to understand requirements and define test scenarios.
- Execute database testing using SQL and validate data accuracy, integrity, and completeness.
- Identify, log, track, and verify defects using defect management tools while ensuring timely resolution.




- Participate in Agile ceremonies including sprint planning, backlog grooming, reviews, and retrospectives.
- Support CI/CD pipelines by integrating automated test suites into deployment workflows.
- Perform performance, scalability, and reliability testing where required.
- Validate data processing workflows on Databricks platforms and ensure end-to-end data quality (preferred).
- Prepare test reports, quality metrics, and release readiness assessments for stakeholders.

Ideal Candidate

- 6+ years of hands-on experience in Software Testing and Quality Assurance.
- Strong expertise in test automation using Selenium, Playwright, Cypress, or similar frameworks.
- Experience with API testing tools such as Postman, Rest Assured, or SoapUI.
- Good understanding of SQL, database testing, and ETL/data validation concepts.
- Exposure to Agile/Scrum development methodologies.
- Knowledge of CI/CD tools such as Azure DevOps, Jenkins, GitHub Actions, or GitLab CI.
- Preferred experience in Databricks environments and data warehouse testing.
- Robust analytical, troubleshooting, and problem-solving skills.
- Excellent communication and stakeholder management capabilities.
- Ability to work independently while collaborating effectively within distributed teams.

📌 Quality Assurance Lead - Data & AI (Mumbai)
🏢 Exponentia.ai
📍 Mumbai