Amazon

Software Dev Engineer, Business Data Technologies

Detroit, MI US
Machine Learning Java Python Streaming Elasticsearch SQL Spark Scala Redis
Description
- 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
- 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

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.
BDT/Cradle team is looking for a passionate and innovative engineer with a solid technical background to join the engineering team. Amazon’s technology connects millions of businesses of all sizes to hundreds of millions of Customers within the Amazon.com marketplaces worldwide. Our platform, at Amazon-scale, enables customers to process native SQL, machine learning (ML), and other functional transformations using Apache Spark, Scala, Java, Python, ML and related technologies to build unified compute for batch, streaming and ML processing - executing over schema’d data stored in S3, and to seamlessly write those curated datasets out to front end caches like Dynamo, Redis and ElasticSearch. Additionally, we enable these same sets of functional transforms over streaming data, enabling customers to transition seamlessly between Streaming, Batch, Cache and Analytics as needed to meet customer demand. The successful candidate will have a background in the development of distributed systems, a solid technical ability, good communication skills, and a motivation to achieve results in a fast paced environment.

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