Job Overview

HCLTech is hiring a Senior Automation Tester for a role focused on Cloud, ETL, and Data Warehouse automation in Chennai, Tamil Nadu. The position is centered on improving software quality through automated testing, reliable test execution, defect analysis, and continuous enhancement of automation frameworks.

The role is suitable for a testing professional who understands cloud-based applications, ETL workflows, and data warehouse environments and can translate testing requirements into effective automated solutions. You will work with the wider team to identify automation opportunities, create and execute test scripts, investigate failures, and communicate quality results to stakeholders.

This opportunity is particularly relevant for professionals who want to build deeper expertise in data-centric testing and cloud automation while working within Agile development and CI/CD environments.

Key Responsibilities

• Develop practical automation approaches for cloud-based applications and systems.
• Design, maintain, and execute automated test scripts for ETL workflows and data warehouse solutions.
• Work with team members to understand application behavior, testing requirements, and areas suitable for automation.
• Perform functional testing to verify that features and data-processing workflows meet expected requirements.
• Execute regression testing to confirm that changes do not introduce unexpected issues into existing functionality.
• Conduct performance-oriented testing in cloud environments where required.
• Analyze failed automated tests and investigate root causes to support timely defect resolution.
• Maintain and improve automated testing frameworks, scripts, and supporting tools.
• Review test execution results and identify recurring quality issues or opportunities for better coverage.
• Document test outcomes, defects, findings, and relevant technical information.
• Provide regular status updates to project stakeholders regarding testing progress and results.
• Contribute to testing practices that improve reliability, repeatability, and efficiency across software delivery.
• Work effectively within Agile development teams and support testing activities aligned with continuous delivery practices.

Required Skills

Candidates should have strong practical knowledge of automation testing, particularly in cloud environments. Experience with automated testing of ETL processes is important, along with a good understanding of data warehouse automation concepts.

The role requires the ability to create and execute automated test scripts rather than relying only on manual validation. Candidates should understand how data moves through extraction, transformation, and loading stages and how those processes can be validated through repeatable automated tests.

A good understanding of functional, regression, and performance testing is expected. Applicants should also be comfortable troubleshooting automation failures, identifying possible root causes, and communicating findings clearly.

Experience working with Agile methodologies and CI/CD pipelines is required. The candidate should understand how automated testing fits into a modern software delivery lifecycle and how testing can be integrated into continuous build and deployment workflows.

Preferred Skills

Relevant certifications in Cloud Automation Testing, ETL, or Data Warehouse automation are a plus. Experience working with established cloud testing tools, automation frameworks, data validation tools, or data warehouse testing platforms can strengthen a candidate's profile.

Professionals who have worked across development, testing, data engineering, or cloud teams may also bring useful cross-functional experience to this role.

Education

The provided job description does not specify a mandatory degree or educational qualification. Candidates should meet the employer's applicable educational and professional requirements for the position.

Experience

The job description identifies the role as a Senior Automation Tester but does not specify a minimum or maximum number of years of experience. Candidates should therefore emphasize relevant hands-on experience in automation testing, cloud testing, ETL validation, data warehouse testing, and test framework development.

Required Technologies

The role focuses on the following technology areas and engineering practices:

• Cloud Automation Testing
• ETL
• Extract, Transform, Load
• Data Warehouse Automation
• Automated Testing
• Functional Testing
• Regression Testing
• Performance Testing
• Test Automation Frameworks
• CI/CD
• Agile Methodologies
• Cloud-Based Applications
• Data Validation
• Test Scripting

The job description does not name specific cloud providers, programming languages, or automation tools, so candidates should not assume that a particular vendor or framework is mandatory unless it is confirmed by HCLTech.

Soft Skills

Strong analytical and problem-solving ability is important for diagnosing automation failures and understanding why a test or data workflow has produced an unexpected result.

Clear communication is also important because the role involves documenting test outcomes, tracking defects, sharing progress, and working with stakeholders. Candidates should be comfortable collaborating with a team while also being capable of independently investigating testing issues and completing assigned work.

Attention to detail is valuable when validating ETL processes and data warehouse workflows because small data inconsistencies can affect downstream results. A structured approach to testing and a willingness to improve automation practices will also support success in the role.

Benefits of Working in this Role

This role provides an opportunity to strengthen expertise in cloud testing, ETL validation, data warehouse automation, and modern software quality practices. Working with automated testing frameworks can help professionals improve test coverage, execution efficiency, defect analysis, and release confidence.

The combination of cloud environments, data-centric testing, Agile delivery, and CI/CD practices can also provide useful experience for professionals progressing toward senior QA automation, data testing, cloud testing, or quality engineering roles.

Work Mode

The provided job description does not specify a work-from-home, hybrid, or onsite arrangement. The role is listed in Chennai, Tamil Nadu.

Location

The position is based in Chennai, Tamil Nadu, India.

Who Should Apply

This opportunity is suitable for experienced QA Automation Engineers, Senior Automation Testers, Cloud Test Engineers, ETL Testers, Data Warehouse Testers, and Quality Engineers with relevant hands-on experience.

Candidates who have built automated test scripts for cloud applications, ETL pipelines, or data warehouse systems should consider this role. It is also relevant for professionals who understand functional, regression, and performance testing and have experience working with Agile teams and CI/CD pipelines.

Career Growth

Experience in cloud automation, ETL testing, and data warehouse validation can help professionals develop a broader quality engineering skill set. Over time, this combination can support career progression toward Senior QA Engineer, Automation Lead, Cloud Test Engineer, Data Quality Engineer, ETL Testing Specialist, or Quality Engineering leadership roles.

Working with automated frameworks and continuous delivery practices can also help candidates build stronger expertise in scalable testing and modern software engineering workflows.

Application Advice

Highlight projects where you created or maintained automated test scripts, especially for cloud applications, ETL processes, and data warehouse environments. Explain the types of testing you performed, such as functional, regression, and performance testing.

Mention experience with automation frameworks, cloud testing tools, CI/CD pipelines, Agile methodologies, defect tracking, and test reporting. If you hold relevant certifications in cloud automation testing, ETL, or data warehouse automation, include them prominently.

Use measurable examples where possible, such as improved test coverage, reduced manual testing effort, faster execution, improved defect detection, or more reliable regression validation. Focus on your ability to troubleshoot failures and work effectively with developers, data teams, and other stakeholders.