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Data Engineering Manager, Ring Agent Platforms

Amazon

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5,635 open engineering roles across 443 companies are on ApplySarthi right now, most of them in Bengaluru (303), Hyderabad (107), Chennai (53).

What engineering roles keep asking for: AWS (17%), Python (14%) — counted across their open postings here.

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Interviews for engineering roles keep coming back to AWS, Python. Practise those questions before you sit with Amazon.

Questions you are likely to be asked

  1. Why do you want to join Amazon?
  2. What is your experience with CI/CD? Tell me one thing you learned the hard way.
  3. Tell me about a time the data was messy or wrong. What did you do?
  4. How would you explain your model's result to someone who is not technical?
  5. What would you check first if a model's accuracy dropped after going live?

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We are looking for a Manager of Data Engineering to lead a team of data engineers building and operating the data pipelines, models, and platform infrastructure that power Ring's analytics, science, and Basic qualifications: - Engineering team management experience, including hiring, performance management, and career development - Working directly within data engineering or closely related teams, with hands-on contribution to data platform and pipeline delivery - Designing or architecting data systems, including data modeling, pipeline patterns, reliability, and scaling strategies - Experience building or leading development of data pipelines and cloud-native data infrastructure (e.g., data warehouses, data lakes, event-driven architectures, orchestration platforms) - Knowledge of engineering practices across the full software development life cycle, including coding standards, code reviews, source control, CI/CD, testing, and operational excellence - Experience partnering with product management, applied science, or cross-functional stakeholders to translate business needs into technical roadmaps Preferred: - Experience leading teams that use generative AI tools and AI development IDEs to accelerate engineering work - Familiarity with multi-agent solutions that automate data engineering workflows (pipeline generation, data quality, testing, operational response) - Familiarity with at least one agentic AI development IDE - Experience building or overseeing shared data models, semantic layers, or data contracts - Familiarity with data governance, cataloging, or lineage tracking practices - Experience contributing to or overseeing shared platform infrastructure, developer tooling, or self-service data services - Familiarity with observability tooling for data pipelines and data platform operations Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( https://www.amazon.jobs/en/privacy_page ) to know more about how we collect, use and transfer the personal data of our candidates. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

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Listed on amazon · posted 2026-08-26. ApplySarthi collects openings and links to application pages; the role is advertised by Amazon, not by us.