Amazon Data Engineer AHS Central Marketing 

United States, Washington, Seattle 

625618080

This role requires you to live at the cross section of data, engineering, and the AHS business. You have a deep understanding of data, analytical techniques, and how to connect insights to the business, and you have practical experience in insisting on highest standards on operations in ETL and big data pipelines. Your responsibilities include big data design and analysis, data modeling, and development, deployment, and operations of big data pipelines. You will work closely with the software development engineering teams around AHS to fundamentally redesign the AHS Marketing infrastructure. You will lead our efforts in the context of the broader Health Care policies, which dictate how data is to be stored and accessed. You will also have the opportunity to engage with analytic teams across AHS to build the data architecture and data sets. You will raise the bar for our engineers to better understand the data flows, infrastructure options, and innovate with them where the options do not meet our needs. You will be part of a broader cross-functional AHS Marketing Analytics team and problem solve together how we can improve how data unlocks value for customers.We are looking for candidates that have strong computer science credentials, are customer-obsessed and have a track record of building quality solutions. You intrinsically use technology to solve problems, excel in data analysis and can succinctly and accurately report your findings. You will contribute to all aspects of our system’s design, development, documentation, testing and operations. You will improve our data pipelines and mine new sources of data to make our system better. For this brand new initiate with highly-motivated engineers, you will help deliver robust data, feature sets, intuitive designs and user interfaces that will deliver a Mobile Analytics Platform at Amazon scale.Key job responsibilities
Key Responsibilities
1. Own the AHS Marketing data architecture (design, implement, and maintain)
2. Define and build the foundational data sets required, and associated data infrastructure, to meet the business goals (tracking, attribution, valuation)
3. Lead GenAI initiatives orchestrating data platforms and automation frameworks to transform enterprise data ecosystems and deliver actionable insights at scale.4. Implement standardized, automated operational and quality control processes to deliver accurate and timely data to meet and improve SLA reporting needs

- 5+ years of data engineering experience
- Experience with data modeling, warehousing and building ETL pipelines
- Experience as a data engineer or related specialty (e.g., software engineer, business intelligence engineer, data scientist) with a track record of manipulating, processing, and extracting value from large datasets
- Knowledge of professional software engineering & best practices for full software development life cycle, including coding standards, software architectures, code reviews, source control management, continuous deployments, testing, and operational excellence
- Experience working on and delivering end to end projects independently
- Leveraging GenAI to accelerate development of data platforms and automation frameworks