📋 Job Details at a Glance 📍 Location Mumbai, Maharashtra, India 🏢 Company Nielsen 👥 Experience 4-6 years 🎓 Qualification Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field 📅 Eligible Batch 2023, 2024, 2025, 2026 📄 Job Type Full Time 💰 Salary ₹18–₹28 LPA 🏢 Industry Technology 🛠 Key Skills Python Java Scala Spark Flink Distributed Systems AWS Azure GCP HDFS Member Technical Staff II – Data Engineer & Backend at Nielsen — Full Details & How to Apply Nielsen is seeking a Member Technical Staff II – Data Engineer & Backend in Mumbai, Maharashtra, India , where you will work with advanced data technologies to drive impactful solutions. This role is pivotal as the demand for data engineers is surging, reflecting the industry's reliance on data-driven decision-making. The Member Technical Staff II – Data Engineer & Backend role at Nielsen is crucial in the current technology landscape, as companies increasingly prioritize data analytics to enhance their operations. With a focus on improving data processing speed and quality, this position directly influences Nielsen's data platform, ensuring clients receive timely and accurate insights. Nielsen is recognized for its rich history and innovation. Founded in 1923 , it employs over 46,000 people globally and is a leader in audience measurement and analytics. The company fosters a culture of internal promotions and skill development, making it an ideal environment for growth. We encourage 2023, 2024, 2025, 2026 graduates with a Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field to consider this opportunity. Candidates should have 4-6 years experience in relevant technologies, with a competitive salary range of ₹18–₹28 LPA . In this role, you will gain hands-on experience with a diverse tech stack, including Python , Java , Scala , AWS , and Spark . This exposure not only enhances your technical skills but also opens doors for career advancement in data engineering and backend development, setting you up for future leadership roles. 📊 Role Difficulty: Medium | Competition Level: High | 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 Member Technical Staff II – Data Engineer & Backend at Nielsen is pivotal in designing robust data pipelines and enhancing data services through advanced technologies like AWS and Spark . Design and implement data pipelines using AWS and Spark to ensure efficient data processing and storage, optimizing performance for analytics. Develop and maintain REST APIs for seamless integration of data services across platforms, enhancing accessibility and usability of data. Collaborate with the Data Science team to optimize data models and improve analytics capabilities, driving actionable insights from data. Monitor data quality metrics to ensure high standards of data integrity and reliability, crucial for maintaining trust in data-driven decisions. Take ownership of project timelines and deliverables, ensuring alignment with business objectives and timely execution of tasks. Document technical specifications and workflows to facilitate knowledge sharing within the team, promoting a culture of continuous improvement. Troubleshoot data-related issues and provide technical support to internal stakeholders, ensuring smooth operations and quick resolution of challenges. This role fosters an ownership culture, allowing you to directly impact Nielsen's data solutions and contribute to the overall success of the organization. Required Skills & Technical Competencies The ideal candidate for the Member Technical Staff II – Data Engineer & Backend role must possess a strong technical skill set to effectively manage data engineering tasks. Technical Skills Python — advanced — essential for scripting and automation tasks, utilizing libraries like Pandas and NumPy for data manipulation. Java — advanced — utilized for building scalable backend services, critical for performance in high-load environments. Spark — advanced — used for large-scale data processing, enabling real-time analytics which is vital for Nielsen's data solutions. Docker — intermediate — important for containerization, ensuring consistent environments for application deployment. Kubernetes — intermediate — utilized for orchestration, managing containerized applications effectively across clusters. CI/CD — intermediate — necessary for maintaining code quality and facilitating rapid deployment cycles, ensuring efficient development workflows. When showcasing these technical skills in your resume or interview, emphasize specific projects or experiences that demonstrate your proficiency and impact. Eligibility Criteria This role is designed for candidates with a solid educational background and relevant experience in data engineering. A Bachelor’s or Master’s degree in Computer Science , Engineering , or a related field is required. Eligible batches include 2023 to 2026 , allowing recent graduates to apply and start their careers in data engineering. 4-6 years of experience is preferred, but freshers with strong technical skills and internships may also be considered. A minimum CGPA of 7.0 is expected to ensure academic competence relevant to the technical demands of the role. Having a GitHub portfolio showcasing relevant projects can significantly enhance a candidate's profile. Documentation & Portfolio Requirements Ensure your resume is clear and concise, highlighting relevant skills and experiences, and include a link to your GitHub portfolio with projects that demonstrate your technical capabilities. Pro tip: Tailor your application to highlight specific experiences with AWS and Spark , as these are critical for the role. Salary for Member Technical Staff II – Data Engineer & Backend at Nielsen 💰 Compensation ₹18–₹28 LPA The advertised compensation for the Member Technical Staff II – Data Engineer & Backend role at Nielsen is ₹18–₹28 LPA . The exact in-hand figure and any additional components are confirmed by the company during the offer or HR discussion stage. Recommended Courses & Preparation Tips for Member Technical Staff II – Data Engineer & Backend Upskilling with the right resources significantly enhances your chances of selection for this role by aligning your skills with industry demands. Recommended Courses & Resources Python — Essential for data manipulation and backend development. Java — Important for building scalable backend systems. Scala — Useful for working with big data frameworks like Spark. AWS — Key for cloud-based data solutions and services. KodNest — Provides hands-on experience with coding challenges relevant to data engineering. Boost your profile with relevant certifications at NexisGrow GetCertified — strengthen your application before you apply. Common Mistakes to Avoid ❌ Neglecting to tailor your resume — Customize your resume to match the job description. ❌ Failing to showcase relevant projects — Highlight internships or projects that demonstrate your skills. ❌ Overloading your resume with generic phrases — Focus on specific achievements instead. ❌ Not preparing for technical interviews — Practice coding challenges relevant to the role. ❌ Ignoring the importance of networking — Reach out to current employees for insights. ❌ Submitting a resume without proofreading — Always check for errors before submission. Before You Apply — Checklist ✅ Research Nielsen's recent projects and technologies to tailor your application. ✅ Update your resume to reflect relevant skills and experiences specific to the job. ✅ Prepare a cover letter that highlights your interest in data engineering and alignment with Nielsen's values. ✅ Gather references from professors or previous employers who can vouch for your technical skills. ✅ Ensure your LinkedIn profile is updated and matches your resume for consistency. ✅ Practice common data engineering interview questions to build confidence. ✅ Set reminders for application deadlines to ensure timely submission. ✅ Follow up on your application status after a week to express continued interest. Resume Tailoring & ATS Keywords for Member Technical Staff II – Data Engineer & Backend Optimizing your resume for ATS is crucial for ensuring it gets noticed for this role. ATS Keywords to Include Data Engineer Python Spark AWS REST APIs Docker Kubernetes CI/CD Distributed Systems PostgreSQL Airflow Scala Resume Tips for This Role Highlight relevant technical projects that demonstrate your proficiency in Python and Spark . Emphasize teamwork and collaboration experiences, particularly in cross-functional settings. Include links to your GitHub or portfolio showcasing your coding skills and projects. Optimize for ATS by using keywords from the job description, particularly technical skills. Avoid including unrelated work experiences that do not showcase your technical abilities. Build an ATS-optimized resume for this role using NexisGrow Resume Builder — free for all job seekers. Pro tip: Avoid including generic statements that do not add value to your application. How to Apply for Member Technical Staff II – Data Engineer & Backend at Nielsen Apply Now — Nielsen Visit the Nielsen careers page and locate the job listing for Member Technical Staff II . Prepare your resume in PDF format, ensuring it highlights relevant skills and experiences. Fill out the application form accurately, paying attention to required fields. After submission, expect a confirmation email regarding your application status. Use the application tracking feature on the portal to monitor your application's progress. Applications reviewed on a rolling basis — early submission recommended. Apply Now — Nielsen NexisGrow.com does not charge any fees for job applications. Nielsen Nielsen , founded in 1923 , is headquartered in New York City and operates in over 100 countries . With a workforce of approximately 46,000 employees , the company has established a significant global footprint, providing insights into consumer behavior and market trends across diverse industries. The company specializes in audience measurement services and analytics platforms, including Nielsen Digital Content Ratings and Nielsen Marketing Cloud . These products enable brands to effectively understand and engage with their target audiences, leveraging data-driven insights for strategic decision-making. Nielsen has received a 4.1-star rating on Glassdoor , reflecting its focus on employee satisfaction and a collaborative work culture. The company offers various mentorship programs and professional development opportunities, fostering a supportive environment for its employees to thrive. Recently, Nielsen announced a strategic partnership with AWS to enhance its data analytics capabilities, showcasing its commitment to innovation in technology. This collaboration aims to leverage cloud solutions for improved data processing and analytics, further solidifying Nielsen's position in the market. Nielsen serves as a robust career launchpad for freshers in technology, providing access to cutting-edge tools and technologies such as Apache Spark and Docker . The company’s emphasis on mentorship and skill development equips new employees with the necessary resources to build successful careers in data engineering and analytics. Company Details Industry Technology Location Mumbai, Maharashtra, India Connect With Us Careers Apply Now Website 🔗 jobs.smartrecruiters.com Frequently Asked Questions Interview · Role · Salary · Growth ? Who can apply for Member Technical Staff II – Data Engineer & Backend at Nielsen? Eligibility Tap to expand + Answer Candidates with Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field and 4-6 years experience are eligible. Eligible batches: 2023, 2024, 2025, 2026. ? What skills are most important for this role? Skills Tap to expand + Answer Key skills: Python, Java, Scala, Spark, Flink. Strong fundamentals and practical project experience matter most. ? What is the salary for this position? Salary Tap to expand + Answer Compensation: ₹18–₹28 LPA. Final offer depends on skills, experience, and interview performance. ? What is the interview process at Nielsen? 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, Java, Scala, Spark, Flink. ? Is there a probation period? Probation Tap to expand + Answer Standard 3–6 months probation. Confirmation follows successful completion. ? How to prepare for the Member Technical Staff II – Data Engineer & Backend interview? Preparation Tap to expand + Answer (1) Core concepts of Python, Java, Scala, Spark, Flink, (2) 2–3 project walkthroughs, (3) Problem-solving, (4) Nielsen research, (5) Clear communication. ? What is the work culture like at Nielsen? Culture Tap to expand + Answer Research on LinkedIn and Glassdoor for authentic employee reviews. NexisGrow.com features only verified employers. 🔗 Explore More on NexisGrow More jobs in Mumbai Browse all Tech jobs Latest Fresher jobs More jobs at Nielsen Work From Home jobs Ready to Apply? Don't Miss This Opportunity! Apply only via the official link. NexisGrow.com charges zero application fees. 👉 Apply Now — Official Link NexisGrow.com does not charge any application or registration fees. Beware of fraudulent offers. Naukri ki baat, NexisGrow ke saath • NexisGrow.com