Data Engineer II, Ring Agent Platforms

Amazon is seeking a Data Engineer II to join Ring Agent Platforms and support its centralized data repository and GenAI Agent Platform. The role focuses on designing, building, and maintaining scalable, privacy- and security-compliant data pipelines, partnering with stakeholders, and enabling analytics, machine learning, optimization, and AI agent use cases.

Responsibilities

• This role will be responsible for building and maintaining efficient, scalable, and privacy/security complaint data pipelines to support our business stakeholders. These pipelines will be built using both tools available in Native AWS as well as Amazon internal tools and technologies
• This role will need to be able to work closely with stakeholders to understand their needs and work alongside them to ensure data being ingested meets the business user's needs and will well modeled and organized to promote scalable usage and good data hygiene
• This role is expected to be able to learn and adapt quickly new technologies like GenAI tooling and business needs, building and improving frameworks and processes, incorporating new patterns and technologies where appropriate
• Collect and Discuss requirements from Business Stakeholders across verticals such as Subscriptions, Sales, Reverse Logistics, Finance, Product, etc
• Build new data ingestions using a combination of Native AWS services and/or internal Amazon tools
• Maintaining/Improving existing data ingestions and ensuring they meet evolving standards and corporate mandates
• Building/Improving/Maintaining frameworks or tools and GenAI Agents for internal team and external stakeholder usage to manage data
• Performing Code Reviews and ensuring best practices are followed for ETL and Data Hygiene by team members and supporting teams

Preferred

• Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions
• Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)
• Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS
• Experience working in or building GenAI enhanced data pipelines
• Amazon Redshift
• Amazon S3
• AWS Glue
• Amazon EMR
• Amazon Kinesis
• Amazon Firehose
• AWS Lambda
• AWS IAM
• IAM Roles
• Permissions
• Non-Relational Databases
• Object Storage
• Document Stores
• Key-Value Stores
• Graph Databases
• Column-Family Databases
• Python
• Java
• Scala
• Node.js
• GenAI-Enhanced Data Pipelines

Benefits

• Sign-on payments
• Restricted stock units (RSUs)
• Health insurance, including medical, dental, vision, prescription, Basic Life & AD&D insurance, and an option for supplemental life plans
• Employee Assistance Program (EAP)
• Mental Health Support
• Medical Advice Line
• Flexible Spending Accounts
• Adoption and Surrogacy Reimbursement coverage
• 401(k) matching
• Paid time off
• Parental leave

Company

• Online retail and cloud computing services
• Seattle, Washington, USA
• https://amazon.com/
• Founded in 1994
• 10001+ employees

Qualifications

• 3+ years of data engineering experience
• Experience with data modeling, warehousing and building ETL pipelines
• Experience with SQL
• Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions
• Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)
• Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS
• Experience working in or building GenAI enhanced data pipelines

Required skills

• AWS Glue, AWS IAM, AWS Lambda, Amazon Redshift, Amazon S3, Data Modeling, Data Warehousing, ETL Pipelines, GenAI-Enhanced Data Pipelines, NoSQL Databases, Python, SQL

Experience

• 3+ years