Sr. Data Engineer - Supply Chain Automation

Amazon is hiring a Sr. Data Engineer - Supply Chain Automation in Bengaluru, India. Level rates it ; you can apply on Amazon.

Level's read on this job

Level rates this data engineer role Little AI ●○○○: aI is not part of the work.
The posting mentions AWS, EC2 and Lambda among its tools and skills.
Level classes it as a senior role.
Amazon has 20,000+ other open roles on Level.

AI in this role

Design and develop supply chain application and process automation solutions using AWS cloud infrastructure.

AWSEC2LambdaDynamoDBElasticsearch

data-engineeringapi-designfull-stackdatabase

Amazon Web Services (AWS) provides a highly reliable, scalable, and low-cost cloud platform that powers thousands of businesses in over 190 countries. AWS’ Infrastructure Services - Supply Chain (AIS - SC) organization works to deliver futuristic solutions to source, build and maintain our socially responsible data center supply chains. We are a team of highly-motivated, engaged, and responsive professionals who enable the core sustainable infrastructure of AWS. Come join our team and be a part of history as we deliver results for the largest cloud services company on Earth !

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 rate this

Sr. Data Engineer - Supply Chain Automation at Amazon rates 10 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Key facts

Sr. Data Engineer - Supply Chain Automation is an open job at Amazon.
Level rates this role AI Level 1 of 4: Little AI.
The role is based in IN, KA, Bengaluru.
The job was posted on August 31, 2026.
Seniority: senior.
Applications are handled by Amazon. Apply on Amazon

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Data EngineeringAPI DesignFull StackDatabaseAWSEC2LambdaDynamoDB

Also common in data engineer jobs at this level

Spark Azure Databricks Airflow Google Cloud Snowflake

Pay

Typical data engineer job: $147k

This posting doesn't list pay. Use the typical data engineer figure when pay comes up. See data engineer jobs

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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