Software Engineering (UI Automation Tester)

📍 Job Overview

Job Title: Software Engineering (UI Automation Tester)

Company: NielsenIQ

Location: Chennai, Tamil Nadu, India

Job Type: Full-time

Category: Quality Assurance & Testing

Date Posted: 2026-04-29

Experience Level: Mid-Level (2-5 years)

Remote Status: On-site

🚀 Role Summary

• This role is crucial for ensuring the quality and accuracy of NielsenIQ's Retail Measurement System (RMS), a core product for delivering comprehensive retail information globally.

• The position demands a blend of functional, backend, and UI automation testing expertise to validate features and data integrity.

• Successful candidates will establish and maintain robust quality processes within an Agile framework, focusing on monthly deliverables and timely sign-offs.

• The role requires hands-on experience with automation frameworks, strong SQL skills, and proficiency in scripting languages for backend validation and data preparation.

📝 Enhancement Note: While the title specifies "UI Automation Tester," the description emphasizes "backend validation," "technical skills needed for a backend validation," and "prepare test data required for validations using sql." This suggests a role that encompasses UI automation but has a significant focus on backend data integrity and testing, which is critical for a data intelligence company like NielsenIQ. The "Retail Measurement System" context implies a need for deep understanding of data pipelines and reporting accuracy.

📈 Primary Responsibilities

• Design, develop, and implement both short-term and long-term solutions for IT needs related to applications, systems architecture, and infrastructure management.

• Conduct a wide range of quality control tests and analyses to ensure software meets or exceeds specified standards and end-user requirements, focusing on functional and backend aspects.

• Execute manual and automated QA/Testing processes, adhering to state-of-the-art testing methodologies for the Retail Measurement System.

• Draft, revise, and approve comprehensive test plans, test scripts, and test strategies to align with IT strategy and quality standards.

• Create and manage test data files with valid and invalid records to thoroughly test program logic and verify system flow, leveraging SQL extensively.

• Collaborate closely with stakeholders, including users, to plan and execute user acceptance testing (UAT), alpha, and beta testing phases.

• Ensure all system tests are successfully completed, thoroughly documented, and that all identified issues are resolved before sign-off.

• Perform regression testing for every release cycle, providing timely and accurate sign-offs to maintain data integrity and system stability.

• Analyze project requirements to prepare detailed test plans, test cases, and accurate effort estimates for future projects.

• Document functional topics and maintain a standard test suite for all functionalities, ensuring it is updated with new test cases for each release.

• Utilize automation skills extensively, with hands-on experience in developing and implementing automated test solutions.

📝 Enhancement Note: The core responsibilities highlight a blend of traditional QA with a strong emphasis on automation and backend data validation. The mention of "monthly basis" and "Agile way" suggests a fast-paced, iterative development environment common in SaaS products, particularly those dealing with critical data like NielsenIQ's. The requirement to "establish right process to ensure quality" indicates a need for proactive process improvement and ownership.

🎓 Skills & Qualifications

Education: Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field, or equivalent practical experience.

Experience: Minimum of 2 to 5 years of hands-on experience in software quality assurance, with a strong focus on functional and backend testing.

Required Skills:

• Minimum 2+ years of hands-on experience in Functional and Backend testing.

• Proven ability in test automation development using industry-standard frameworks such as Selenium or Playwright.

• Strong proficiency in SQL for data validation, query writing, and test data preparation.

• Demonstrated experience in creating comprehensive test plans, detailed test cases, and effective test strategies.

• Experience working within Agile development methodologies, participating in sprint planning, daily stand-ups, and retrospectives.

Preferred Skills:

• Basic understanding of Artificial Intelligence (AI) and Machine Learning (ML) concepts.

• Familiarity with using AI coding assistants, such as GitHub Copilot, to enhance development and testing efficiency.

• Experience with CI/CD pipelines and integrating automated tests into the development workflow.

• Knowledge of API testing tools and methodologies.

• Familiarity with performance testing concepts and tools.

📝 Enhancement Note: The AI/ML and Copilot requirement is a forward-thinking addition, indicating NielsenIQ's adoption of modern development practices and tools to enhance productivity and quality. The experience level of "2-5 years" suggests this is a mid-level role, requiring independent contribution but also room for growth and mentorship. The explicit mention of "standard framework" for automation implies a preference for well-structured, maintainable test code.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Demonstrations of automated test scripts developed using Selenium, Playwright, or similar frameworks, showcasing effective test case design and execution.

• Examples of comprehensive test plans and test strategies for complex software features or systems, highlighting thoroughness and alignment with project goals.

• Case studies or examples of backend data validation using SQL, illustrating proficiency in querying databases and verifying data integrity for critical systems.

• Documentation of regression testing cycles, demonstrating systematic approaches to ensuring stability across releases and highlighting identified issues and resolutions.

Process Documentation:

• Evidence of contributions to defining and improving QA processes within an Agile development environment.

• Examples of documented functional topics and maintained standard test suites, showcasing organizational skills and attention to detail.

• Documentation of contributions to user acceptance testing (UAT) planning and execution, demonstrating collaboration with end-users.

• Examples of how you have contributed to establishing or refining quality control processes to meet specific project or release requirements.

📝 Enhancement Note: For a role involving automation and backend testing, a portfolio should clearly showcase not just the ability to write code, but the strategic thinking behind test design and process improvement. Demonstrating how tests were integrated into the development lifecycle and how they contributed to product quality is key. The focus on SQL and data validation is paramount given NielsenIQ's business.

💵 Compensation & Benefits

Salary Range: Based on industry benchmarks for a UI Automation Tester with 2-5 years of experience in Chennai, India, the estimated annual salary range is ₹600,000 to ₹1,200,000. This range accounts for variations in specific skills, experience, and the overall compensation structure of NielsenIQ in the region.

Benefits:

• Flexible working environment, promoting work-life balance and autonomy.

• Volunteer time off, encouraging community engagement and social responsibility.

• LinkedIn Learning access for continuous professional development and upskilling.

• Employee Assistance Program (EAP) providing confidential support for personal and professional challenges.

• Comprehensive wellness plans designed for employees and their families, focusing on health and well-being.

• Financial wellness tools and resources to support long-term financial planning and security.

• Opportunities for career development and advancement within NielsenIQ.

Working Hours: The standard working hours are approximately 40 hours per week, aligning with typical full-time employment in India. While the role operates within an Agile framework, flexibility may be offered subject to team needs and project timelines, with potential for ad-hoc work outside standard hours during critical release periods.

📝 Enhancement Note: Salary estimation for Chennai, India, is based on data from reputable salary aggregators and industry reports for software testing roles with automation and backend skills. The benefits listed are directly extracted from the job description, highlighting NielsenIQ's commitment to employee well-being and professional growth. The mention of AI in recruitment suggests a modern, tech-forward approach from the company.

🎯 Team & Company Context

🏢 Company Culture

Industry: Data & Analytics, Market Research, Consumer Intelligence. NielsenIQ (NIQ) is a leading global consumer intelligence company, providing insights into consumer buying behavior. The recent merger with GfK further solidifies its position with unparalleled global reach.

Company Size: NielsenIQ is a large enterprise, operating in 100+ markets and covering over 90% of the world's population. This scale implies robust processes, diverse teams, and significant opportunities for impact.

Founded: While the exact founding date of NielsenIQ is not explicitly stated, its long history as a leader in market research, combined with the recent merger with GfK (founded in 1925), suggests a deep-rooted heritage and extensive experience in the industry.

Team Structure:

• The QA team is likely part of a larger Engineering or Product Development department, focused on ensuring the quality of the Retail Measurement System (RMS).

• The team structure will probably involve reporting lines to a QA Manager or Lead, with close collaboration across development teams, product managers, and potentially data scientists.

Methodology:

• Data analysis and insights are central to NielsenIQ's business, so QA processes will likely be data-driven, using metrics to track quality and identify areas for improvement.

• Workflow planning and optimization will be key, especially within the Agile framework, to ensure efficient and effective testing cycles.

• Automation and efficiency practices are emphasized, particularly with the requirement for UI automation and backend validation skills.

Company Website: https://www.nielseniq.com/global/en/

📝 Enhancement Note: NielsenIQ's position as a global leader in consumer intelligence, especially after the GfK merger, means this role is at the forefront of data analytics and insights. The company's vast global presence suggests a complex, data-intensive environment where accuracy and reliability are paramount. The emphasis on AI in their recruitment process hints at a company that embraces technological advancements.

📈 Career & Growth Analysis

Operations Career Level: This role is positioned as a Mid-Level Software Engineering (UI Automation Tester), typically requiring 2-5 years of dedicated experience. It's a hands-on technical position focused on executing and improving testing processes, with opportunities to influence testing strategies and automation frameworks.

Reporting Structure: The tester will likely report to a QA Lead or Manager, and will work closely with Software Developers, Product Managers, and potentially Data Engineers. Collaboration with cross-functional teams is a key aspect, ensuring alignment on product quality and delivery timelines.

Operations Impact: As a UI Automation Tester for the Retail Measurement System (RMS), the impact is direct and significant. Ensuring the accuracy and reliability of the data delivered through RMS directly affects NielsenIQ's clients' business decisions, market strategies, and overall growth. High-quality testing contributes to customer trust, reduces post-release issues, and supports the company's reputation for delivering complete and accurate consumer insights.

Growth Opportunities:

• Specialization in Automation: Deepen expertise in UI and backend automation, potentially leading to senior automation engineer roles or architecting test frameworks.

• Data & Analytics Focus: Transition into roles with a stronger emphasis on data validation, analytics testing, or even data engineering, leveraging SQL and scripting skills.

• Technical Leadership: Progress to a QA Lead or Test Architect position, mentoring junior testers, defining testing strategies, and driving process improvements.

• Cross-Functional Mobility: Develop a broad understanding of the RMS and NielsenIQ's business, potentially moving into product management, business analysis, or even development roles with further upskilling.

• AI/ML Integration: Gain experience in applying AI/ML tools in testing, a growing field that can open doors to cutting-edge roles within the company.

📝 Enhancement Note: The career path for an automation tester in a data-centric company like NielsenIQ often involves deepening technical skills in automation and expanding into backend or data-focused testing. The company's emphasis on AI also presents a unique growth avenue. The "operations" context here refers to the operational excellence of the software product itself, which is critical for NielsenIQ's business.

🌐 Work Environment

Office Type: The position is based in Chennai, India, at NielsenIQ's physical office location. This implies a traditional office environment where in-person collaboration is expected.

Office Location(s): Mount Poonamallee Road, Chennai, Tamil Nadu, India. This location is likely within a business park or a well-established commercial area in Chennai, offering accessibility for local employees.

Workspace Context:

• The workspace is expected to be collaborative, fostering interaction among QA engineers, developers, and product teams.

• Access to standard office technology, including development machines, testing tools, and high-speed internet, will be provided.

• Opportunities for direct interaction with team members will facilitate knowledge sharing, problem-solving, and team-building activities.

Work Schedule: The role follows a standard 40-hour work week, typical for full-time positions in India. While the Agile methodology encourages flexibility, adherence to core working hours for team synchronization and collaboration is expected. The company's benefits mention a "flexible working environment," which may translate to some degree of flexibility in start/end times, provided project deadlines and team needs are met.

📝 Enhancement Note: Given the "On-site" work arrangement, the emphasis is on in-person collaboration. The mention of "flexible working environment" in benefits is a positive sign, suggesting that while the core expectation is on-site, there might be some adaptability in daily schedules, especially for tasks that don't require immediate physical presence. The AI usage in recruitment also hints at a modern infrastructure supporting work.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: A recruiter or hiring manager will review applications and resumes, focusing on required technical skills (Selenium/Playwright, SQL,

Python, scripting) and relevant experience.

• Technical Interview(s): Expect one or more rounds of technical interviews. These will likely include:

  • Coding Challenges: Live coding exercises focusing on Python, SQL, or automation script development.
  • Conceptual Questions: Assessing understanding of testing methodologies, automation principles, Agile practices, and backend validation techniques.
  • Scenario-Based Questions: Presenting hypothetical testing scenarios related to the Retail Measurement System or similar data-intensive applications.

• Portfolio Review: Candidates may be asked to present a selection of their work, showcasing automated test scripts, test plans, and SQL validation examples.

• Behavioral/Cultural Fit Interview: An interview to assess alignment with NielsenIQ's values, teamwork capabilities, problem-solving approach, and communication skills.

• Final Interview: Potentially with a senior leader or hiring manager to discuss the role in depth and make a final decision.

Portfolio Review Tips:

• Highlight Automation Frameworks: Showcase well-structured and maintainable automated test scripts using Selenium or Playwright. Explain the design choices and benefits.

• Demonstrate SQL Proficiency: Include examples of complex SQL queries used for data validation, and explain how you used them to identify and resolve data discrepancies.

• Present Test Strategy and Plans: Show examples of comprehensive test plans and strategies, detailing scope, objectives, resources, and timelines.

• Quantify Impact: Where possible, use metrics to demonstrate the effectiveness of your automation efforts (e.g., reduction in manual testing time, increase in test coverage, defect detection rate).

• Showcase Backend Testing: Provide examples of backend validation techniques and how you ensured data integrity.

• Explain AI Tool Usage: If applicable, describe how you've used AI coding assistants like Copilot to improve efficiency or quality in your testing work.

Challenge Preparation:

• Practice Live Coding: Be prepared for live coding sessions in Python and SQL. Focus on writing clean, efficient, and well-documented code.

• Understand Agile: Review Agile methodologies and be ready to discuss your experience working in an Agile environment.

• Prepare for Scenario Questions: Think about how you would approach testing a complex data system like NielsenIQ's RMS. Consider edge cases, data integrity, and performance aspects.

• Research NielsenIQ: Understand the company's business, its products (especially RMS), and its market position. This will help tailor your answers and demonstrate genuine interest.

• Prepare Questions: Have thoughtful questions ready for the interviewers about the team, the challenges, and the company culture.

📝 Enhancement Note: The emphasis on a portfolio for a tester is crucial. It's not just about listing skills but demonstrating them. For this role, showcasing both UI automation code and SQL-based data validation is key. The AI/ML aspect, though basic, should also be addressed if possible. The interview process is typical for mid-level technical roles, balancing technical depth with cultural fit.

🛠 Tools & Technology Stack

Primary Tools:

• Test Automation Frameworks: Selenium, Playwright (hands-on experience required).

• Programming Languages: Python (required for scripting and automation), Shell scripting (required for backend tasks).

• Database Querying: SQL (strong skills required for backend validation and test data preparation).

• Version Control: Git (standard for code management, assumed proficiency).

Analytics & Reporting:

• Testing Tools: JIRA, Confluence (common for test case management, bug tracking, and documentation, likely used).

• Reporting: Standard reporting features within test management tools, or custom reports generated via scripts and SQL queries.

CRM & Automation:

• AI Coding Assistants: GitHub Copilot (familiarity/basics of use expected).

• Development Environments: IDEs like VS Code, PyCharm (common for Python development).

📝 Enhancement Note: The tech stack is clearly defined by the requirements: Selenium/Playwright for UI automation, Python and Shell for scripting, and SQL for backend data interaction. Familiarity with Agile tools like JIRA and Confluence is highly probable in this environment. The inclusion of AI coding assistants is a modern addition.

👥 Team Culture & Values

Operations Values:

• Accuracy and Integrity: Given NielsenIQ's business, a strong commitment to data accuracy, reliability, and integrity is paramount. This translates to meticulous testing and a zero-tolerance approach to critical data defects.

• Efficiency and Automation: A drive to automate repetitive tasks and optimize testing processes to deliver faster, more reliable results.

• Collaboration and Communication: Working effectively within cross-functional teams, sharing knowledge, and providing clear, concise feedback.

• Continuous Improvement: A proactive mindset towards identifying areas for process enhancement and skill development.

• Customer Focus: Understanding that the quality of the RMS directly impacts client satisfaction and business outcomes.

Collaboration Style:

• Agile Teamwork: Expect a highly collaborative environment where team members work together to achieve sprint goals. This involves open communication, pair programming/testing, and shared responsibility.

• Cross-Functional Integration: Close collaboration with developers, product managers, and potentially business analysts to ensure a shared understanding of requirements and quality standards.

• Feedback Culture: An environment where constructive feedback is regularly exchanged, both for code and processes, to drive continuous improvement.

• Knowledge Sharing: Encouragement of sharing best practices, new tools, and learnings across the team and potentially broader engineering organization.

📝 Enhancement Note: The culture at a company like NielsenIQ, especially in a data-focused role, will heavily emphasize precision, data integrity, and efficiency. The Agile framework will shape the day-to-day collaboration style, promoting teamwork and continuous feedback. The mention of AI in recruitment suggests a forward-thinking, tech-embracing culture.

⚡ Challenges & Growth Opportunities

Challenges:

• Data Complexity: The Retail Measurement System likely handles vast amounts of complex data. Ensuring accuracy and consistency across various data sources and reporting formats can be a significant challenge.

• Rapid Release Cycles: Working in an Agile environment means frequent releases. Keeping pace with development while maintaining high-quality testing standards requires efficient automation and prioritization.

• Balancing UI and Backend: Effectively integrating UI automation with robust backend data validation to provide comprehensive test coverage can be challenging.

• Evolving Technologies: Staying current with new automation tools, AI advancements, and NielsenIQ's evolving technology stack requires continuous learning.

Learning & Development Opportunities:

• Advanced Automation Techniques: Opportunities to explore more sophisticated automation patterns, framework design, and potentially performance testing.

• AI/ML in Testing: Gaining practical experience with AI coding assistants and exploring how AI/ML can be applied to enhance testing efficiency and effectiveness.

• Data Analytics Skills: Deepening expertise in SQL and data analysis, which are critical for NielsenIQ's core business.

• Domain Expertise: Developing a strong understanding of the retail measurement industry and consumer intelligence, which can open doors to specialized roles.

• Mentorship: Potential to be mentored by senior engineers and to mentor junior team members as experience grows.

📝 Enhancement Note: The challenges are typical for a QA role in a data-intensive, fast-paced tech environment. The growth opportunities are tailored to the specific skills mentioned (automation, SQL, AI) and the company's domain, offering clear pathways for career advancement.

💡 Interview Preparation

Strategy Questions:

• Automation Strategy: "Describe your approach to designing a scalable and maintainable UI automation framework. How would you ensure it integrates effectively with backend validation?"

  • Preparation: Focus on modular design, page object models (POM), data-driven testing, and how to trigger backend checks from UI automation scripts.

• Data Validation Approach: "How would you approach validating the accuracy of data in a complex retail measurement system? What specific SQL techniques would you use?"

  • Preparation: Discuss record counts, checksums, data type validation, cross-referencing data from different sources, and using aggregate functions in SQL.

• Agile Testing: "How do you contribute to an Agile team's success as a QA Automation Tester? What are your strategies for estimation and risk management within sprints?"

Company & Culture Questions:

• NIQ's Role: "How do you see the role of a UI Automation Tester contributing to NielsenIQ's mission of providing consumer intelligence?"

  • Preparation: Connect your QA work to data accuracy, customer trust, and enabling business decisions.

• AI in Testing: "NielsenIQ uses AI in recruitment. How do you see AI tools like Copilot impacting the future of software testing?"

  • Preparation: Discuss potential benefits (efficiency, code generation) and challenges (over-reliance, bias) and your willingness to learn and adapt.

• Teamwork: "Describe a time you had to collaborate closely with developers or product managers to resolve a critical bug. What was your approach?"

Portfolio Presentation Strategy:

• Showcase Core Skills: Prioritize examples that clearly demonstrate your Selenium/Playwright automation skills and your SQL data validation capabilities.

• Explain Your Process: For each portfolio item, explain the problem, your approach, the tools used, and the outcome/impact.

• Quantify Results: Use metrics whenever possible (e.g., "Automated X test cases, reducing manual effort by Y hours per release").

• Highlight Problem-Solving: Be ready to discuss challenges encountered with your projects and how you overcame them.

• Tailor to RMS: If possible, frame your examples in the context of data systems or reporting, even if your past projects were in different domains.

Challenge Preparation:

• SQL Proficiency: Be ready for complex SQL queries, including joins, subqueries, and window functions.

• Python Scripting: Practice writing Python scripts for automation, data manipulation, and file handling.

• Test Design: Be prepared to design test cases for a given feature, considering various scenarios and edge cases.

• Troubleshooting: Discuss your approach to debugging failed tests, both automated and manual.

📝 Enhancement Note: Interview preparation for this role should strongly emphasize the practical application of automation tools and SQL for data validation. The company's use of AI in recruitment is a good talking point, showing preparedness. The portfolio presentation is a critical component, so candidates should be ready to articulate their contributions clearly and concisely.

📌 Application Steps

To apply for this operations position:

• Submit your application through the provided link on SmartRecruiters.

• Tailor Your Resume: Highlight specific achievements in UI automation (Selenium/Playwright), backend testing, SQL proficiency, and Python/Shell scripting. Quantify your impact with metrics where possible.

• Prepare Your Portfolio: Curate examples of your best work, including automated test scripts, test plans, and SQL validation scenarios. Be ready to walk through them during an interview.

• Practice Technical Skills: Rehearse live coding exercises for Python and SQL. Review common automation testing concepts and Agile methodologies.

• Research NielsenIQ: Understand the company's mission, products (especially RMS), and its position in the data and analytics industry. Prepare thoughtful questions for the interviewers.

⚠️ Important Notice: This enhanced job description includes AI-generated insights and operations industry-standard assumptions. All details should be verified directly with the hiring organization before making application decisions.