NielsenIQ
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Chennai · On-site · 10-13 Yrs · 3 days ago
Information Technology Support Services · 10000+ Employees · Chicago, US
NIQ is the world’s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights—delivered with advanced analytics through state-of-the-art platforms—NIQ delivers the Full View™. NIQ, is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world’s population. For more information, visit NIQ.com.
Hiring: Engineering
What employees say
+ Good Salary CAB facility Nice office Good exposure
− In process of building up, going IPO, Not completely in that state.
More reviews on the company profile.
Interview experience · Cyber Security Analyst
round1 - aptitude round2 - coding(2 ques easy - medium difficulty) round3(final) - tech + hr - basic cyber security terms and questions from the resume Why do u want to nielsenIQ? WHat do u know abt the company?
Easy difficulty · Chennai · 267 reports
More interview insightsJob description
Overview
Principal Software Engineer (Data Engineering) Job Description We are seeking a highly skilled **Principal Software Engineer – Data Engineering** to design, develop, and optimize scalable data platforms and pipelines.
Responsibilities
- Design and implement scalable, reliable, and secure data pipelines.
- Develop ETL/ELT solutions for processing large-scale structured and unstructured datasets.
- Build data ingestion frameworks supporting batch and near real-time processing.
- Design and optimize data models for analytics, reporting, and machine learning workloads.
- Ensure high data quality, governance, observability, and reliability across data platforms. Cloud & Data Warehouse Architect and maintain cloud-native data solutions on AWS or Azure or GCP.
- Develop and optimize solutions using **Snowflake** or equivalent cloud data warehouse technologies.
- Implement data lake and lakehouse architectures.
- Optimize storage costs, compute utilization, and query performance. Software Engineering Excellence
- Develop production-grade applications and frameworks using Python. Perform code reviews and establish engineering best practices.
- Drive architectural decisions and technology selection.
- Ensure adherence to security, scalability, and reliability standards. CI/CD & DevOps
- Design and implement CI/CD pipelines for data and application deployments.
- Automate build, test, deployment, and monitoring processes.
- Manage Infrastructure as Code (IaC) using Terraform, CloudFormation, or similar tools. Improve deployment reliability and observability. AI & Advanced Analytics Enable AI/ML workflows by building robust feature and training data pipelines.
- Work with AI teams to operationalize machine learning models.
- Explore Generative AI, LLM integrations, vector databases, and AI-driven automation solutions.
- Support model monitoring, governance, and deployment pipelines. Leadership & Mentoring
- Provide technical leadership across multiple engineering teams. Mentor senior engineers and establish engineering standards.
- Collaborate with architects, product managers, and business stakeholders.
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Job application FAQ
Last updated 15 September 2026
- How do I apply for Principal Software Engineer - Data Engineering at NielsenIQ?
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- Yes after you add a resume or skills. Match score ranks this role against your profile — skills met, gaps, level, and location — so you prioritise applications where fit is strongest.
- Is Principal Software Engineer - Data Engineering remote or on-site in Chennai, Tamil Nadu?
- This listing is marked on_site with location Chennai, Tamil Nadu. Confirm details on the job description before applying.
- What skills matter for this Principal Software Engineer - Data Engineering role at NielsenIQ?
- This is a principal Principal Software Engineer - Data Engineering role. Key skills include skills listed in the job description. Feedback AI highlights matched vs missing skills on your profile after signup.