📋 Job Details at a Glance 📍 Location Pune, Maharashtra, India 🏢 Company NielsenIQ 👥 Experience 1-3 years 🎓 Qualification Bachelor's or Master's degree in Computer Science, Information Technology, or a related technical engineering field 📅 Eligible Batch 2021, 2022, 2023, 2024, 2025 📄 Job Type Full Time 💰 Salary ₹6.5 – ₹12.0 LPA 🏢 Industry Technology 🛠 Key Skills Python Scrapy Requests httpx Selenium Playwright Frida mitmproxy Charles Proxy Burp Suite Software Engineer - Web Scraping at NielsenIQ — Full Details & How to Apply NielsenIQ is seeking a Software Engineer - Web Scraping in Pune, Maharashtra, India , where you can leverage your Python skills to build resilient web crawlers that drive data insights. This role is pivotal as the demand for skilled web scraping engineers is surging, making it a critical component of NielsenIQ 's data architecture. The importance of this Software Engineer - Web Scraping role cannot be overstated. As businesses increasingly rely on data-driven decisions, the ability to extract and analyze vast amounts of data is essential. This position directly impacts NielsenIQ 's capacity to enhance client solutions and market insights, positioning you at the forefront of technological advancement in the industry. What sets NielsenIQ apart as an employer is its legacy and scale. Founded in 1923 , NielsenIQ is a global leader in data analytics, employing over 46,000 people across 100+ countries. This extensive network provides a robust platform for freshers, offering unparalleled opportunities for growth and development in a collaborative environment. We encourage 2021, 2022, 2023, 2024, 2025 graduates with a Bachelor's or Master's degree in Computer Science, Information Technology, or a related technical engineering field to apply. Candidates should have 1-3 years experience and can expect a competitive salary ranging from ₹6.5 – ₹12.0 LPA . In this role, you will gain hands-on experience with advanced tools such as Python , Scrapy , Requests , httpx , Selenium , and Playwright . This exposure not only enhances your technical skill set but also opens doors to future career opportunities in data engineering and analytics, setting you on a path for significant professional growth. 📊 Role Difficulty: Medium | Competition Level: Medium | Fresher Friendly: Yes NexisGrow.com features this opportunity as part of its curated tech job listings. All details are sourced from the official job posting. Apply online before the opportunity closes. Job Role & Responsibilities The core mission of the Software Engineer - Web Scraping at NielsenIQ is to develop robust web crawlers that efficiently extract valuable data, ensuring high data integrity and relevance for analytics. Develop and maintain high-throughput web crawlers using Python and Scrapy to extract data efficiently from various web sources. Utilize Selenium for orchestrating headless browser automation, navigating complex web applications to gather dynamic content. Collaborate with the Data Science and Analytics teams to ensure data integrity and relevance, leveraging MongoDB for data storage. Monitor and optimize scraping performance metrics, focusing on improving data extraction efficiency through analytical techniques. Troubleshoot and resolve issues related to web scraping processes, employing Requests and httpx for effective HTTP requests. Document scraping methodologies and maintain clear communication with stakeholders, ensuring transparency in data extraction processes. Engage in problem-solving sessions to address client-specific data extraction challenges, utilizing Frida or Charles Proxy for advanced analysis. This role fosters an ownership culture, allowing you to directly impact data extraction processes and contribute to the overall success of NielsenIQ . Required Skills & Technical Competencies The ideal candidate will possess a strong skill profile, combining technical expertise with analytical thinking to excel in web scraping tasks. Technical Skills Python — advanced — essential for developing scalable web scraping solutions and automating data extraction tasks. Scrapy — advanced — used for building web crawlers, requiring familiarity with its architecture for efficient data extraction. Selenium — intermediate — employed for automating browser tasks, involving daily script writing to handle dynamic content. Requests — intermediate — necessary for making HTTP requests and handling responses effectively in web scraping. httpx — intermediate — utilized for asynchronous HTTP requests, enhancing the efficiency of data extraction processes. MongoDB — intermediate — familiar for efficient data management and storage of extracted datasets. Frida — entry — enhances your ability to reverse-engineer mobile/web applications, useful for complex scraping tasks. Charles Proxy — entry — aids in analyzing network traffic, improving troubleshooting capabilities in web scraping. Parquet — entry — improves your ability to handle large datasets effectively, ensuring efficient data storage. Avro — entry — facilitates data serialization, enhancing the management of large-scale data extraction. Redis — entry — utilized for caching data, improving the performance of web scraping applications. Soft Skills & Professional Competencies Analytical thinking — critical for identifying and resolving data extraction challenges in real-time. Problem-solving — essential for addressing client-specific data extraction challenges effectively. Effective communication — necessary for maintaining clear communication with stakeholders regarding scraping methodologies. Attention to detail — vital for ensuring data integrity and relevance throughout the scraping process. Good to Have (Bonus Skills) Experience with Frida or Charles Proxy — enhances your ability to reverse-engineer mobile/web applications. Familiarity with MongoDB — unlocks efficient data management capabilities for large datasets. Knowledge of data formats like Parquet and Avro — improves your ability to handle large datasets effectively. When showcasing these skills in your resume or interview, emphasize specific projects or experiences where you applied these technologies and methodologies. Eligibility Criteria This role is designed for candidates with a solid technical foundation and relevant experience in web scraping and data extraction. Candidates must hold a Bachelor's or Master's degree in Computer Science , Information Technology , or a related field. Eligible batches include 2021 to 2025 , allowing recent graduates to apply and start their careers in data engineering. 1-3 years of experience is preferred, but freshers with relevant skills and internships are encouraged to apply. A minimum academic performance of 60% is expected, reflecting a strong grasp of technical concepts. Having a portfolio or GitHub showcasing relevant projects will provide a competitive edge in the application process. Documentation & Portfolio Requirements Ensure your resume is formatted clearly, highlighting your technical skills, relevant projects, and academic achievements. Include links to your GitHub or portfolio showcasing your work. Pro tip: Tailor your application to highlight specific experiences with Python and Scrapy , as these are critical for this role. Salary for Software Engineer - Web Scraping at NielsenIQ 💰 Compensation ₹6.5 – ₹12.0 LPA The advertised compensation for the Software Engineer - Web Scraping role at NielsenIQ is ₹6.5 – ₹12.0 LPA . The exact in-hand figure and any additional components are confirmed by the company during the offer or HR discussion stage. Selection Process at NielsenIQ The selection process for the Software Engineer - Web Scraping role is designed to identify candidates with strong technical skills and cultural fit. 1 Online Coding Test — 60 minutes, assessing programming skills and problem-solving abilities. 2 Technical Interview — focuses on Python , web scraping techniques, and data structures. 3 Behavioral Interview — evaluates cultural fit and teamwork through scenario-based questions. 4 HR Interview — discusses offer details and company culture, typically within a week of the last round. Topic-wise Preparation Guide Round 1: Online Coding Test Data Structures — understanding lists, dictionaries, and sets is crucial for coding challenges — LeetCode Algorithms — focus on sorting and searching algorithms relevant to data extraction — GeeksForGeeks Web Technologies — familiarity with HTTP protocols and web scraping ethics — W3Schools Python Basics — ensure a strong grasp of Python syntax and libraries — Khan Academy Round 2: Technical Interview Scrapy Framework — in-depth knowledge of its components and usage — Scrapy Documentation Selenium Automation — practical understanding of browser automation techniques — Selenium Documentation Data Parsing Techniques — proficiency in handling JSON and XML data formats — freeCodeCamp Networking Concepts — understanding of RESTful APIs and HTTP requests — GeeksForGeeks Database Management — knowledge of MongoDB and data storage solutions — MongoDB Documentation Round 3: Behavioral Interview Behavioral questions on teamwork — use the STAR method to articulate experiences. Conflict Resolution — discuss how you've handled challenges in group settings. Technical deep-dive into a past project involving web scraping. Timeline & Expectations The typical timeline from application to offer can take up to 4 weeks , depending on candidate availability and scheduling. Prepare by practicing coding problems and understanding the company culture to align your responses. Expected Interview Questions for Software Engineer - Web Scraping at NielsenIQ These questions are based on the role's actual tech stack and responsibilities. Technical Questions How do you handle dynamic content while scraping websites? Explain the difference between Scrapy and Selenium . What are the best practices for managing web scraping ethics? How do you optimize the performance of a web crawler? Describe your experience with data storage solutions like MongoDB . What techniques do you use to bypass anti-bot mechanisms? Behavioral Questions Describe a time when you faced a technical challenge and how you overcame it. How do you prioritize tasks when working on multiple projects? Give an example of a successful team project you contributed to. How do you handle feedback and criticism in a team setting? Role-Specific Questions What is your approach to ensuring data accuracy in web scraping? How do you stay updated with the latest web scraping technologies? Can you discuss a project where you implemented a web scraping solution? Structure your answers using the STAR method to provide clear and concise responses. Resume Tailoring & ATS Keywords for Software Engineer - Web Scraping Optimizing your resume for ATS is crucial for this role to ensure it gets noticed by recruiters. ATS Keywords to Include Python Scrapy Web Scraping Selenium Data Extraction MongoDB HTTP Requests Automation Data Analysis Networking Burp Suite Playwright Resume Tips for This Role Highlight your proficiency in Python and relevant libraries specific to web scraping. Emphasize any internships or projects that involved data extraction or automation. Include links to your GitHub or portfolio showcasing relevant work. Optimize your resume for ATS by using keywords from the job description. Avoid including unrelated work experience that does not demonstrate your technical skills. Build an ATS-optimized resume for this role using NexisGrow Resume Builder — free for all job seekers. Do not include generic skills or experiences that do not relate to web scraping. About NielsenIQ NielsenIQ was founded in 1923 and has expanded to become a global data analytics powerhouse with a workforce of over 45,000 employees . Headquartered in Chicago , the company maintains a significant presence in Pune, Maharashtra , contributing to its extensive global footprint across more than 100 countries . The core offerings of NielsenIQ include advanced data analytics and market research services, utilizing platforms like Nielsen Connect and Nielsen Audience Measurement . These tools empower brands to gain insights into consumer behavior and market trends, facilitating informed decision-making. NielsenIQ has been recognized for its inclusive work culture, boasting a Glassdoor rating of 4.2 . The company actively promotes employee engagement through various programs, including mentorship initiatives and diversity training, which contribute to high levels of job satisfaction among its workforce. Recently, NielsenIQ announced a strategic partnership with leading tech firms to enhance its data processing capabilities. This initiative not only signals growth and innovation but also positions the company to leverage cutting-edge technologies in data analytics. For freshers in Technology, NielsenIQ offers unparalleled access to industry-leading projects and mentorship opportunities. This environment fosters skill development and provides a strong foundation for a successful career in data analytics and technology. Why Join NielsenIQ as Software Engineer - Web Scraping? Joining NielsenIQ as a Software Engineer - Web Scraping offers a unique chance to work on innovative projects that directly influence market research and consumer insights. Hands-On Experience — Gain practical skills in Python and Scrapy , essential for developing scalable web scraping solutions that are highly sought after in the industry. Advanced Tool Proficiency — Work with cutting-edge tools like Burp Suite and mitmproxy , significantly enhancing your technical skill set and marketability. Career Advancement — After 1-2 years, transition into roles such as Data Engineer or Backend Developer, broadening your career opportunities within NielsenIQ . Collaborative Culture — Experience a work environment that promotes knowledge sharing and teamwork across diverse teams, fostering personal and professional growth. Vibrant Lifestyle — Located in Pune , enjoy a vibrant lifestyle with access to tech hubs and a flexible work environment that supports work-life balance. According to NexisGrow.com, a role at NielsenIQ as a Software Engineer - Web Scraping not only enhances your technical skills but also positions you at the forefront of data analytics innovation. Frequently Asked Questions Interview · Role · Salary · Growth ? Who can apply for Software Engineer - Web Scraping at NielsenIQ? Eligibility Tap to expand + Answer Candidates with Bachelor's or Master's degree in Computer Science, Information Technology, or a related technical engineering field and 1-3 years experience are eligible. Eligible batches: 2021, 2022, 2023, 2024, 2025. ? What skills are most important for this role? Skills Tap to expand + Answer Key skills: Python, Scrapy, Requests, httpx, Selenium. Strong fundamentals and practical project experience matter most. ? What is the salary for this position? Salary Tap to expand + Answer Compensation: ₹6.5 – ₹12.0 LPA. Final offer depends on skills, experience, and interview performance. ? What is the interview process at NielsenIQ? Interview Tap to expand + Answer Typically: Resume shortlisting → Online test → Technical interview(s) → HR round. ? Is this role remote, hybrid, or onsite? Work Mode Tap to expand + Answer Work mode varies by team. Confirm with HR during recruitment. ? What is the career growth path from this role? Growth Tap to expand + Answer Structured appraisals every 6–12 months. Senior roles accessible within 12–18 months based on performance. ? How do I apply? Application Tap to expand + Answer Apply via the official link in How to Apply section. Highlight: Python, Scrapy, Requests, httpx, Selenium. ? Is there a probation period? Probation Tap to expand + Answer Standard 3–6 months probation. Confirmation follows successful completion. ? How to prepare for the Software Engineer - Web Scraping interview? Preparation Tap to expand + Answer (1) Core concepts of Python, Scrapy, Requests, httpx, Selenium, (2) 2–3 project walkthroughs, (3) Problem-solving, (4) NielsenIQ research, (5) Clear communication. ? What is the work culture like at NielsenIQ? Culture Tap to expand + Answer Research on LinkedIn and Glassdoor for authentic employee reviews. 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