Lead QA Engineer

Qualys; Pune District; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Qualys in Pune, Maharashtra invites an experienced QA Automation Engineer to join the Big Data Platform team. You will build and maintain automated tests for API-based data access and Spark data processing jobs, collaborating with data engineers to ensure data pipelines are accurate, reliable, and performant.

Responsibilities include debugging customer issues, creating automated test scripts, validating Spark outputs, and end-to-end data pipeline verification.

Qualifications

• Total of more than 6 years of experience in QA.
• 3-5 years of QA/automation experience
• Selenium and Playwright preferred
• Working knowledge of Python or Java for test scripting
• Exposure to REST API testing (Postman, RestAssured, or requests)
• Basic understanding of big data concepts and Apache Spark (DataFrames, jobs, transformations)
• Good SQL skills for data validation
• Exposure to CI/CD tools (Jenkins/GitLab CI) and Git
• Strong analytical skills and good communication for cross-functional collaboration
• Good Linux skills - Basic linux and K8s commands

Responsibilities

• Debugging - Debug and resolve customer issues
• Test fixes related to customer issues
• Root cause analysis of customer issues
• Build and maintain automated test scripts for REST/API-based data access services
• Maintain and release hot fixes in a dedicated cadence.
• Help with appropriate product documentation
• Test Spark job outputs for correct transformations, aggregations, and schema
• Validate data pipelines end-to-end for completeness, accuracy, and consistency
• Write SQL queries to verify data in databases/data lakes against expected results
• Work with data engineers/PMs to define test scope from pipeline requirements
• Log and track defects (e.g., JIRA) and support root cause analysis
• Debug and analyze logs to identify failure root cause and enable resolution
• Integrate automated tests into CI/CD pipelines
• Maintain deployment pipelines and workloads for QA environments

Skills

Selenium

Playwright

Python

Java

REST API testing

Linux commands

CI/CD

Tools

Postman

RestAssured

Git

Jenkins

GitLab CI

Kubernetes

Job description

Come work at a place where innovation and teamwork come together to support the most exciting missions in the world!

We are looking for an QA Automation Engineer to join our Big Data Platform team. You will build and maintain automated tests for API-based data access and Spark data processing jobs, working with data engineers to ensure our data pipelines are accurate, reliable, and performant.

Responsibilities

• Debugging - Debug and resolve customer issues

  • Test fixes related to customer issues
  • Root cause analysis of customer issues

• Build and maintain automated test scripts for REST/API-based data access services

• Maintain and release hot fixes in a dedicated cadence.

• Help with appropriate product documentation

• Test Spark job outputs for correct transformations, aggregations, and schema

• Validate data pipelines end-to-end for completeness, accuracy, and consistency

• Write SQL queries to verify data in databases/data lakes against expected results

• Work with data engineers/PMs to define test scope from pipeline requirements

• Log and track defects (e.g., JIRA) and support root cause analysis

• Debug and analyze logs to identify failure root cause and enable resolution

• Integrate automated tests into CI/CD pipelines

• Maintain deployment pipelines and workloads for QA environments

Qualifications

• Total of more than 6 years of experience in QA
• 3-5 years of QA/automation experience
• Selenium and Playwright preferred
• Working knowledge of Python or Java for test scripting
• Exposure to REST API testing (Postman, RestAssured, or requests)
• Basic understanding of big data concepts and Apache Spark (DataFrames, jobs, transformations)
• Good SQL skills for data validation
• Exposure to CI/CD tools (Jenkins/GitLab CI) and Git
• Strong analytical skills and good communication for cross-functional collaboration
• Good Linux skills - Basic linux and K8s commands