Data Engineer • Mid-Level

Who you are

You have a strong background in data engineering, particularly with AWS services, and a proven track record of creating efficient data solutions. Your experience includes working with data models for both relational databases and the Glue/Athena/EMR stack, showcasing your ability to handle complex data architectures. You are detail-oriented and have a knack for developing comprehensive solution documentation, project plans, and user guides that facilitate smooth project execution. You thrive in collaborative environments, engaging with cross-functional teams to build reusable design patterns and components that enhance overall system efficiency.

You possess a deep understanding of modern data architecture and cloud-first designs, which allows you to contribute effectively to the 3 Year Data Infrastructure Modernisation strategy. Your analytical skills enable you to perform gap analyses and evaluate the feasibility of adopting new products and features, ensuring that your team stays ahead of the curve in data technology. You are inspired to grow into a data systems architect role, demonstrating a commitment to continuous learning and professional development.

What you'll do

As a Data Engineer at Amazon, you will play a pivotal role in transforming how Operations Finance teams access and analyze data. Your responsibilities will include supporting and migrating data analytics use cases for targeted customer groups, implementing new features within the central platform, and ensuring that all components adhere to best engineering practices. You will engage in system design and integrate new components into established architectures, contributing to the overall efficiency and effectiveness of the data infrastructure.

You will collaborate closely with various teams to build reusable design patterns and components, fostering a culture of shared knowledge and innovation. Your role will also involve making informed decisions regarding the adoption of new products and features, conducting thorough evaluations to identify potential blockers and opportunities for improvement. You will be responsible for user acceptance testing, launch, and post-launch support, ensuring that all deliverables meet the highest standards of quality and performance.

What we offer

At Amazon, you will be part of a dynamic team that values innovation and collaboration. We offer competitive compensation and opportunities for professional growth within a leading global company. You will have access to cutting-edge technology and resources that empower you to excel in your role and make a meaningful impact on our operations. Join us in our mission to enhance data accessibility and analysis for our Operations Finance teams, and help shape the future of data infrastructure at Amazon.