Senior Data Engineer, Ring Data Platform
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Monthly Salary:
Posted on:
2 hours ago
Vacancies:
1 Vacancy
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Job Summary
Come build the future of smart security with us. Are you excited about shaping the future of devices and services that keep to keep people close to whats important.
Rings Decision Sciences Platform Team is looking for an experienced Data Engineer who is passionate about building scalable data and AI platform capabilities to accelerate innovation across the company. This role is critical in scaling our AI & Data Platform which serves as the foundational layer for Rings growing Artificial Intelligence and Machine Learning initiatives.
You will play a key role in ensuring the platform meets the demands of AI/ML model training evaluation and serving enabling Ring to deploy AI across the full application lifecycle.
An ideal individual is someone who has deep data engineering skills around ETL data modeling database architecture and big data solutions. You should have strong business judgement excellent written and verbal communication skills.
Key job responsibilities
- Design build and maintain robust data pipelines and AI integration solutions using AWS-native services and/or internal Amazon tooling.
- Build and support scalable ingestion transformation and serving layers that power AI/ML workflows including Generative AI and Agentic AI systems.
- Collaborate closely with data scientists software engineers and product managers to deploy AI-first capabilities in customer-facing and internal applications.
- Improve and maintain existing data workflows to meet evolving compliance security and performance standards.
- Develop frameworks and tools to enable self-service access to data and AI assets across the organization.
- Conduct code reviews enforce best practices for ETL and data hygiene and drive engineering excellence across the team.
- Document architecture designs and operational processes to ensure scalability reliability and knowledge sharing.
- Stay current with advances in GenAI Agentic AI cloud-native AI platforms and data engineering best practices.
- 5 years of data engineering experience
- Experience with data modeling warehousing and building ETL pipelines
- Experience with SQL
- Experience in at least one modern scripting or programming language such as Python Java Scala or NodeJS
- Experience mentoring team members on best practices
- Experience with big data technologies such as: Hadoop Hive Spark EMR
- Experience operating large data warehouses
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 for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
Rings Decision Sciences Platform Team is looking for an experienced Data Engineer who is passionate about building scalable data and AI platform capabilities to accelerate innovation across the company. This role is critical in scaling our AI & Data Platform which serves as the foundational layer for Rings growing Artificial Intelligence and Machine Learning initiatives.
You will play a key role in ensuring the platform meets the demands of AI/ML model training evaluation and serving enabling Ring to deploy AI across the full application lifecycle.
An ideal individual is someone who has deep data engineering skills around ETL data modeling database architecture and big data solutions. You should have strong business judgement excellent written and verbal communication skills.
Key job responsibilities
- Design build and maintain robust data pipelines and AI integration solutions using AWS-native services and/or internal Amazon tooling.
- Build and support scalable ingestion transformation and serving layers that power AI/ML workflows including Generative AI and Agentic AI systems.
- Collaborate closely with data scientists software engineers and product managers to deploy AI-first capabilities in customer-facing and internal applications.
- Improve and maintain existing data workflows to meet evolving compliance security and performance standards.
- Develop frameworks and tools to enable self-service access to data and AI assets across the organization.
- Conduct code reviews enforce best practices for ETL and data hygiene and drive engineering excellence across the team.
- Document architecture designs and operational processes to ensure scalability reliability and knowledge sharing.
- Stay current with advances in GenAI Agentic AI cloud-native AI platforms and data engineering best practices.
- 5 years of data engineering experience
- Experience with data modeling warehousing and building ETL pipelines
- Experience with SQL
- Experience in at least one modern scripting or programming language such as Python Java Scala or NodeJS
- Experience mentoring team members on best practices
- Experience with big data technologies such as: Hadoop Hive Spark EMR
- Experience operating large data warehouses
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 for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
Required Experience:
Senior IC
Key Skills
- Apache Hive
- S3
- Hadoop
- Redshift
- Spark
- AWS
- Apache Pig
- NoSQL
- Big Data
- Data Warehouse
- Kafka
- Scala
About Company
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