Data Engineer, DSP Analytics

Amazon Last Mile DSP is seeking an extraordinary Data Engineer to join the DSP Analytics team.

At Amazon, we are working to be the most customer-centric company on earth -- including how we fulfill and deliver customer orders. The goal of Amazon’s Service Partner (DSP) Team is to exceed the expectations of our customers by ensuring that their orders, no matter how large or small, are delivered as quickly, accurately, and cost effectively as possible. To meet this goal, Amazon is continually striving to innovate and provide best in class experience through the introduction of pioneering new products and services in the last mile space.

This person will play a key role in providing the end-to-end engineering solutions to support key business initiatives related to safety of drivers. If you are passionate about technologies, strongly biased to go deep to find insights and build scalable real time analytical platform, relentless in ensuring quality and reliability, and feel comfortable communicating with different levels of leadership, you are the candidate we are looking for!

You should have deep expertise in creating, managing, and utilizing large and small datasets across a variety of data platforms. You should have excellent business and interpersonal skills to work with business owners, understand their data requirements, and build scalable and robust data solutions. You should be an expert at crafting, implementing, and operating stable, scalable, and cost-effective solutions to manage data flow from multiple production systems. Above all, you should be passionate about working with data and enjoy bringing varied datasets together to answer business questions and drive growth.

You will develop new engineering patterns that leverage new cloud architectures, and will extend or migrate existing data pipelines to these architectures as needed. You will be responsible for designing and implementing complex data pipelines in Amazon's platform and other BI solutions to support the rapidly growing and dynamic business demand for data, and use it to deliver data-driven insights that will have an immediate impact on day-to-day decision-making at Amazon.

About the team
We are the core Amazon DSP business intelligence team with the vision to enable data, insights and science driven decision-making. We have exceptionally talented and fun loving team members. In our team, you will have the opportunity to dive deep into complex business and data problems, drive large scale technical solutions and raise the bar for operational excellence. We love to share ideas and learning with each other. We are a relatively new team and do not carry legacy operational burden. We believe in promoting and using ideas to disrupt the status quo.

Basic Qualifications

- 3+ years of data engineering experience
- Experience with data modeling, warehousing and building ETL pipelines
- Experience with SQL

Preferred Qualifications

- 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)

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.