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fulltime·NielsenIQ

Engineering Manager - Web Data Acquisition

Chennai / Pune, IndiaEstimated ₹25 - 35 LPA6 skills

This is our market estimate, based on Glassdoor NielsenIQ Engineering Manager India (avg 34.5L). It is not the employer's disclosed pay.

Skills & Stack

Engineering leadershipWeb scrapingPythonData engineeringAgileOperations

About the Role

Engineering manager leading an India-based team building and operating scalable web-scraping capabilities for NielsenIQ.

About NielsenIQ

Consumer intelligence and retail analytics company.

What You'll Do

8 items
  • 1Manage, coach, and develop India-based engineers and associates, with clear goals, regular feedback, career development, and performance accountability. 
  • 2Build an inclusive, high-trust team culture that values ownership, learning, engineering quality, and continuous improvement. 
  • 3Plan team capacity, skills development, hiring, onboarding, succession coverage, and workload allocation for the India team. 
  • 4Create clarity on priorities, decision rights, delivery expectations, and escalation paths. 
  • 5Lead the design, implementation, testing, deployment, and maintenance of web scrapers and supporting services. 
  • 6Ensure reliable acquisition of retailer and marketplace data while managing changing websites, anti-bot defenses, data-quality requirements, and operational constraints. 
  • 7Drive predictable execution across new-source onboarding, change requests, production support, technical debt, and platform improvements. 
  • 8Use delivery and operational metrics to identify risks, remove bottlenecks, and improve throughput, quality, and resilience. 

What We're Looking For

  • 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 HTTP, HTML/DOM, APIs, proxies, browser behavior, monitoring, incident response, and production support. 
  • Ability to lead delivery across ambiguous requirements, operational pressure, and competing priorities. 
  • Strong 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. 

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