- Can I apply
- Needs PhD · 7–13 yrs
- Pay
- Pay not stated
- Source
- From the company's careers page · today
- How to apply
- On NielsenIQ's site (SmartRecruiters): short form, ~5 min
Early: posted 1 h ago on their own site
Read from the company's own careers page; you apply on their site.
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About the role
The ideal candidate is a hands-on technical leader who can architect and deliver scalable enterprise systems while mentoring engineering teams, influencing technical strategy, and driving innovation across multiple initiatives. This role requires deep expertise in distributed systems, APIs, cloud technologies, AI-powered engineering, data platforms, and software delivery at scale.
What you'll do
- Lead end-to-end delivery of complex engineering initiatives
- Define technical architecture, engineering patterns, solution roadmaps, and development standards
- Drive technical design reviews, architecture discussions, and engineering best practices
- Guide teams in building scalable, secure, resilient, and maintainable platforms
- Evaluate emerging technologies and recommend strategic adoption opportunities
What you need
- 8–14 years in data science & ai
- AWS
- Python
- Kafka
- Terraform
- REST APIs
- Git
- M.Sc or B.Tech or B.E. or B.Sc or BCA or M.Tech or MCA
Good to have
- LLMs
- Databricks
- Snowflake
- Spring Boot
- Test automation
- IAM
What you get
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