Data Engineer, Sub Same Day (SSD) Engineering

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

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

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.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $118,900/year in our lowest geographic market up to $205,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.
The Sub Same Day (SSD) Engineering org is seeking an exemplary Data Engineer with broad technical skills to develop, own and support pipelines that back business analytics, to build tools that facilitate orchestration, and to produce automation scripts that optimize infrastructure. We look for candidates who are excellent communicators, self-motivated, flexible, hardworking, and who like to have fun.

In this role, you will be responsible for designing and implementing an analytical environment using third-party and in-house reporting tools, modeling metadata, building reports and dashboards. as well as dataset management. You will get the unique opportunity to work closely with a variety of stakeholders, including Industrial Design Engineers, Business Intelligence Engineers, Supply Chain Managers, and other Program Management teams. The candidate will also be in charge of driving strategic initiatives to improve reporting efficiency, develop new bridging workflow tools and establish new key performance metrics where appropriate. This role is on the engineering planning team that supports a wide range of businesses including Sub Same Day, Rural, and Super Rural, etc. This role has great exposure to broad scope that can really help shape the future of operational fulfillment and promotes career progression.

The ideal candidate will not only raise the bar on Data engineering skills but demonstrates a strong curiosity to understand the business end-to-end and be comfortable working with ambiguity. The candidate will also have an eye for detail, be proficient/advanced in SQL/DWH/Python and invent for solving data and reporting challenges. The role requires good communication skills with other functional teams.


Key job responsibilities
- Design, implement and support an analytical data infrastructure using AWS technologies
- Build robust and scalable data integration (ETL) pipelines using SQL, and AWS data storage technologies like Aurora, Red Shift etc.
- Design and develop Analytics applications using modern scripting languages (Python, R, PHP, etc) supporting critical business functions.
- Collect and convert functional and business requirements into solutions that are operable, scalable, and well-suited to the overall data.
- Gather business and functional requirements and translate these requirements into robust, scalable, operable solutions with a flexible and adaptable data architecture.
- Engage in all phases of the development life cycle, including design, implementation, testing, delivery, documentation, support, and maintenance.
- Lead architecture design and implementation of next generation BI solution
- Continually improve ongoing reporting and analysis processes, automating or simplifying self-service modeling and production support for customers.


About the team
Join Amazon's Sub Same Day (SSD) Engineering Organization and revolutionize same-day delivery worldwide. We're expanding capabilities, optimizing networks, and adapting to customer needs.

As a member of our team, you will create innovative customer solutions while collaborating with cross-functional experts across business, technology, and design domains. You'll tackle complex challenges using data-driven approaches and play a key role in shaping the future of e-commerce logistics. Your contributions will directly impact how we revolutionize the delivery experience for millions of customers.

We're building more than a delivery network – we're creating experiences that drive growth and customer satisfaction. If you're passionate about innovation and want to impact millions daily, join our team!

Ready to deliver the future? Help us redefine speed and efficiency in same-day delivery!