Data Engineer • Mid-Level

Who you are

You have 3+ years of experience in data engineering, with a strong background in building and maintaining data pipelines that support large-scale analytics. Your expertise in AWS technologies and big data tools allows you to design secure and scalable data infrastructures that meet the needs of diverse stakeholders. You are proficient in ETL processes and understand the importance of data integrity and documentation in creating reliable data systems. You are a proactive problem solver who identifies opportunities for process improvement and automation, ensuring that data is timely, discoverable, and available for analysis.

You thrive in collaborative environments, partnering with business stakeholders to gather requirements and translate them into effective data solutions. Your ability to communicate complex technical concepts to non-technical audiences makes you an invaluable team member. You are detail-oriented and committed to implementing best practices in data system creation, ensuring that your work contributes to the overall success of the organization.

Desirable

Experience with data warehousing solutions and familiarity with data modeling techniques will set you apart. Knowledge of additional big data tools and frameworks is a plus, as is experience in a fast-paced, data-driven environment.

What you'll do

In this role, you will design and implement scalable data pipelines that handle complex datasets, ensuring high performance and reliability. You will build and maintain ETL processes that transform raw data into actionable insights, enabling stakeholders to make informed decisions. Your responsibilities will include architecting end-to-end analytical solutions that are stable, cost-effective, and highly available. You will work closely with cross-functional teams to understand their data needs and deliver solutions that empower sellers on Amazon's global platform.

You will proactively identify opportunities for process improvement and automation, streamlining workflows to enhance efficiency. Your role will involve implementing best practices in data system creation, ensuring data integrity, and maintaining comprehensive documentation. You will also participate in regular meetings with business stakeholders to gather feedback and iterate on data solutions, ensuring that they meet evolving business needs.

What we offer

At Amazon, you will be part of a dedicated team that values innovation and collaboration. We offer competitive compensation and benefits, including opportunities for professional development and growth within the organization. You will have access to cutting-edge technologies and the chance to work on impactful projects that shape the future of e-commerce. Join us in our mission to empower sellers and enhance their experience on Amazon's platform.