Data Engineer Ring Data Science and Engineering

Ring Data Science and Engineering team is looking for a Data Engineer (DE) to play a significant role in building large-scale, high-volume data services. This role will contribute to building extendable systems to support a variety of data needs, from handling large volumes of device data needed for troubleshooting and analytics, to organizing data for use in AI platforms to provide analytics with agility., This role will be responsible for building and maintaining efficient, scalable, and privacy/security compliant 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 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 be well modeled and organized to promote scalable usage and good data hygiene.

This role is expected to leverage new technologies like Gen AI to adapt to business needs, building and improving frameworks and processes with these new tools to accelerate development and improve data quality.

A day in the life

This Role will:

• 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.
• Maintain and improve existing data ingestions and ensure they meet evolving standards and corporate mandates.
• Build, improve, and maintain frameworks or tools for internal team and external stakeholder usage to manage data.
• Perform code reviews and ensure best practices are followed for ETL and data hygiene by team members and supporting teams.
• Build and update AI agents to streamline data engineering tasks.

• Experience in data engineering
• Experience with data modeling, warehousing, and building ETL pipelines
• Experience with one or more query languages (e.g., SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala)
• Experience with one or more scripting languages (e.g., Python, KornShell), * Experience with big data technologies such as Hadoop, Hive, Spark, and EMR
• Experience with any ETL tool like Informatica, ODI, SSIS, BODI, or Datastage

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 to know more about how we collect, use and transfer the personal data of our candidates.