Engineering Manager, JS (India)

Engineering Manager, JS (India)

31 Oct
|
Nielseniq
|
India

31 Oct

Nielseniq

India

The Engineering Manager, Web Data Acquisition leads an India-based engineering team responsible for building, operating, and improving scalable web-scraping capabilities. The manager is accountable for the performance and development of individual contributors in India and works with global Engineering, Product, Data Operations, and delivery stakeholders to translate priorities into reliable outcomes.
Manage, coach, and develop India-based engineers and associates, with clear goals, regular feedback, career development, and performance accountability.
Build an inclusive, high-trust team culture that values ownership, learning, engineering quality, and continuous improvement.
Own Scraping Engineering Delivery
Lead the design, implementation, testing, deployment, and maintenance of web scrapers and supporting services.
Ensure reliable acquisition of retailer and marketplace data while managing changing websites, anti-bot defenses, data-quality requirements, and operational constraints.
Use delivery and operational metrics to identify risks, remove bottlenecks, and improve throughput, quality, and resilience.
Drive Engineering and Operational Excellence
Establish practical engineering standards for code quality, reviews, testing, observability, documentation, security, and production readiness.
Improve automation, monitoring, alerting, failure diagnosis, recovery, and root-cause follow-through for scraping workflows.
Balance short-term delivery commitments with maintainability, scalability, cost, and platform alignment.
Promote responsible collection practices and adherence to applicable NIQ policies, contractual requirements, and legal guidance.
Partner with Product, Engineering, Data Operations, Customer Success, and delivery teams to clarify requirements and sequence work.
Communicate delivery health, dependencies, technical risks, trade-offs, and recovery plans to senior stakeholders.
Contribute to planning, architecture discussions, operational reviews,



and continuous-improvement initiatives for web data acquisition

8 to 10 years of experience managing software engineers or data-engineering professionals, including goal setting, coaching, performance management, and career development.

- Strong software-engineering background with experience delivering production systems in a modern programming language such as Python, Java, C#, or JavaScript/TypeScript.
- Experience with web scraping, browser automation, crawling, data pipelines, distributed systems, or high-volume data collection.
- Working knowledge of HTML/DOM, APIs, proxies, browser behavior, monitoring, incident response, and production support.
- Robust written and verbal communication skills, including the ability to explain technical risks and trade-offs to non-specialists.
- Experience working with cross-functional and geographically distributed stakeholders.

Experience with retailer, marketplace, digital-commerce, or digital-shelf data.
Experience operating cloud-based services and automated data-processing workflows.
Familiarity with anti-bot techniques, headless browsers, scraper observability, data-quality controls, and resilient extraction patterns.
Experience improving team operating rhythms, delivery metrics, incident practices, and engineering productivity.
Experience hiring and scaling engineering teams in India.
The India team has clear priorities, strong engagement, effective coaching, and reliable execution.
New and changed data sources are delivered with appropriate quality controls and operational readiness.




Stakeholders have timely visibility into delivery status, capacity, risks, and trade-offs.
Flexible working environment
LinkedIn Learning
Employee-Assistance-Program (EAP)
NIQ may utilize artificial intelligence (AI) tools at various stages of the recruitment process, including résumé screening, candidate assessments, interview scheduling, job matching, communication support, and certain administrative tasks that help streamline workflows. All use of AI is governed by NIQ's principles of fairness, transparency, human oversight, and inclusion. NIQ regularly reviews its AI tools to help mitigate bias and ensure compliance with applicable laws and regulations. If you have questions, require accommodations, or wish to request human review were permitted by law, please contact your local HR representative. For more information, please visit NIQ's AI Safety Policies and Guiding Principles:
NIQ is the world's leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. 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.
Our commitment to Diversity, Equity, and Inclusion
At NIQ, we are steadfast in our commitment to fostering an inclusive workplace that mirrors the rich diversity of the communities and markets we serve. All employment decisions at NIQ are made without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, marital status, veteran status, or any other characteristic protected by applicable laws. To learn more about our ongoing efforts in diversity and inclusion, please visit the

📌 Engineering Manager, JS (India)
🏢 Nielseniq
📍 India

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