Software Dev Engineer II, Business Data Technologies
Bengaluru · On-site · 3+ yrs · Mid · Full-time
- aws
- redshift
- emr
- glue
- lakeformation
- sagemaker
Mid-level SDE building scalable data processing systems on AWS at Amazon's BDT group in Bengaluru.
Apply on Amazon's site Ask for a referral Interview prep
Interview prep: questions this posting points to
- Walk me through how you would design an ETL pipeline on AWS Glue and Redshift that consolidates finance data from 11 countries into a single unified dataset tracking 500+ operational and cost metrics at daily granularity. How would you structure it so that a new country can be onboarded without rewriting the pipeline?
- It's the morning before a weekly business review and the finance team's cost-performance dashboard is showing numbers that don't reconcile between finance, stores, and operations datasets. Walk me through how you'd triage this.
- These teams are actively migrating legacy systems to AWS and consolidating data from 11 countries and 100+ finance users. Tell me about a time you had to manage a complex data migration while keeping the old system running. What went wrong, and how did you handle it?
Read the full job description
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.
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