Sr. Data Engineer - Supply Chain Automation
AI in this role
Design and develop supply chain application and process automation solutions using AWS cloud infrastructure.
Do you love problem solving? Do you enjoy learning new ideas and apply them to problems? Are you looking for real world engineering challenges? Do you dream about elegant high quality solutions? Want to be a part of an amazing team that delivers first class automation solutions to our business world-wide?
AWS is seeking a highly motivated and passionate Sr. Data Engineer - Supply Chain Automation who is responsible for designing, developing, testing, and deploying Supply Chain Application and Process Automation. In this role you will collaborate with business leaders, work backwards from customers, identify problems, propose innovative solutions, relentlessly raise standards, and have a positive impact on AWS Infrastructure Services Supply Chain. In this, you will work closely with a team of Data Engineers and Data Scientists to architect the application programming interface (API) and user Interface (UI) in context with the business outcomes. You will be using the best of available tools, including EC2, Lambda, DynamoDB, and Elastic Search. You will be responsible for the full software development life cycle to build scalable application and deploy in AWS Cloud.
In this job, you will:
- Work with business leaders, Data Engineers, and Data Scientists to ideate business friendly software solutions.
- Design client-side and server-side architecture.
- Develop visually appealing front end website architecture, including translating designer mock-ups and wireframes into front-end code.
- Develop functional databases, applications, and servers to support websites on the back end.
- Write effective APIs.
- Test software to ensure responsiveness and efficiency.
- Troubleshoot, debug and upgrade applications.
- Create security and data protection settings.
- Build features and applications with a mobile responsive design.
- Develop technical specifications and write technical documentation.
Basic qualifications
- 7+ years of data engineering experience
- Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS
- Bachelor's degree or above in computer science, computer engineering, or related field, or PhD
- - 6+ years of non-internship professional software development experience with 3+ years of in developing Supply Chain Solutions and Software.
- - Expertise with SQL and NoSQL databases.
Preferred qualifications
- Experience building complex software systems that have been successfully delivered to customers
- - Experience in communicating with users, other technical teams, and management to collect requirements, describe software product features, and technical designs.
- - Having working closely with Business on Supply Chain Planning and Procurement system development.
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.
How we score this
Sr. Data Engineer - Supply Chain Automation at Amazon scores 10 out of 100 on AI centrality, which makes it AI Level 1 of 4 (Little AI) on this board. The level measures how much of the work is AI, not seniority.
AI Level 1. The work itself involves no AI, or AI only appears as scenery, such as a company tagline.
- AI Level 480 to 100
- AI Level 360 to 79
- AI Level 240 to 59
- AI Level 10 to 39
Bands come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.
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Skills and AI tools this role asks for
Questions you could be asked
- Tell me about a project where data engineering was part of your work. What did you do?
- Tell me about a project where api design was part of your work. What did you do?
- Tell me about a project where full stack was part of your work. What did you do?
- Tell me about a project where database was part of your work. What did you do?
- Walk me through how you've used Aws in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: Data Engineering, Api Design, Full Stack, Database, and Aws. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
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