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Amazon

Software Dev Engineer II, Business Data Technologies

Amazon is hiring a Software Dev Engineer II, Business Data Technologies in Bengaluru, India. Level rates it ; you can apply on Amazon.

Level's read on this job

  • Level rates this role Little AI ●○○○: aI is not part of the work.
  • The posting mentions SageMaker, AWS and Redshift among its tools and skills.
  • Level classes it as a mid-level role.
  • Amazon has 21,000+ other open roles on Level.
  • Posted within the past two weeks.

AI in this role

Design and build scalable software components and distributed data processing systems for Amazon's Business Data Technologies group.

sagemakerawsredshiftemrgluelakeformation
distributed-systemssoftware-developmentdata-processingalgorithmsjavapython
Amazon’s eCommerce Foundation (eCF) organization is responsible for the core components that drive the Amazon website and customer experience. Serving millions of customer page views and orders per day, eCF builds for scale. As an organization within eCF, the Business Data Technologies (BDT) group is no exception. We process petabytes of data from thousands of data sources at Amazon including the Amazon catalog system, inventory system, customer order system, page views on the website and Alexa systems. We also support Amazon subsidiaries such as IMDB and Audible. We provide interfaces for our internal customers to access and query the data hundreds of thousands of times per day, using Amazon Web Service’s (AWS) Redshift, EMR, Glue, LakeFormation and SageMaker. We build scalable solutions that grow with Amazon’s business.

BDT is growing, and the data processing landscape is shifting. Our data is consumed by thousands of teams across Amazon including Research Scientists, Machine Learning Specialists, Business Analysts and Data Engineers.

We are developing innovative products including the next-generation of data catalog, data discovery engine, data transformation, machine learning, and more with AWS technologies.

We're looking for talented engineers to build them from the ground up.

This is a hands-on position where you will design and build extremely scalable components and features for data processing at Amazon. You will work closely with senior engineers to solve challenging technical problems and collaborate with internal customers to help them get the best results. You should be a strong software developer with solid programming skills, an understanding of data structures and algorithms, and a passion for massive-scale computing. A desire to learn, deliver results, and grow as an engineer is essential.

Key job responsibilities
* Collaborate with experienced cross-disciplinary Amazonians to design, develop, and deliver innovative products and services.
* Design and build software components in a large distributed computing environment.
* Build distributed storage, index, and query systems that are scalable, fault-tolerant, low cost, and easy to manage/use.
* Design and code the right solutions starting with broadly defined problems, with guidance from senior engineers.
* Work in an agile environment to deliver high-quality software.
* Write clean, maintainable code and participate actively in code reviews.
* Troubleshoot and debug issues across the software stack.

A day in the life
The challenges SDEs solve for at Amazon are big and influence millions of customers, sellers, and products around the world. We are looking for individuals who are passionate about creating new products, features, and services from scratch while managing ambiguity and the pace of a company where development cycles are measured in weeks, not years.

Basic qualifications

- 3+ years of non-internship professional software development experience
- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience programming with at least one software programming language

Preferred qualifications

- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Bachelor's degree in computer science or equivalent

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

Software Dev Engineer II, Business Data Technologies at Amazon rates 20 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.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ 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.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Distributed SystemsSoftware DevelopmentData ProcessingAlgorithmsJavaPythonSageMakerAWS

Questions you could be asked

  1. Tell me about a project where distributed systems was part of your work. What did you do?
  2. Tell me about a project where software development was part of your work. What did you do?
  3. Tell me about a project where data processing was part of your work. What did you do?
  4. Tell me about a project where algorithms was part of your work. What did you do?
  5. Tell me about a project where java was part of your work. What did you do?

Adapt your resume

  • List these exact terms on your resume: Distributed Systems, Software Development, Data Processing, Algorithms, and Java. 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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