Amazon is big and very data driven. Interested in building the next generation analytics platform to make this easy at an Amazon scale?
Amazon's BDT organization is building a new data lake marketplace allowing for data producers and consumers to easily and securely share large volumes of data, run massively parallel analytics and share the gained insights.
As part of the BDT organization, we are developing the core services of the data lake that includes cataloging, storage, access, compliance and quality and we’re looking for top engineers to build it from the ground up.
This is a hands-on position where you will be do everything from designing and building highly efficient Big Data storage and components with state-of-the-art features for optimized analytical and AI workflow on variety of computes like Spark, Redshift, Athena, EMR, Ray, mentor other engineers and work with our business partners, data engineers and analysts to help them get the best results. You need to not only be a top software developer with excellent programming skills with a stellar record of delivery but also show bias for customer obsession. You need to have a real passion for very large scale storage, catalog, databases and massively parallel computing. You will work with the latest AWS technologies in the big data space such as S3, EMR, Glue, Redshift and Athena to build new applications that leverage these technologies and open source frameworks like Iceberg, Apache Spark, Hive, Presto and Flink.
Key job responsibilities
Your responsibilities will include:
A successful candidate will have a background in the leading team that owns distributed systems, a solid technical foundation, good communication skills, and a motivation to achieve results in a fast paced environment. As part of this role you will:
Build and manage a team of industry-leading software engineers
Foster career growth and a strong team culture
Recruit, hire, mentor, and coach engineers
Work cross-functionally, interfacing with internal customers to gain clarity on requirements, set priorities and communicate direction and progress
Own all operational metrics for your team’s software
Manage the agile development process and methodology to deliver incremental value to customers
Work with product management to develop long-term architectural and business strategy
Familiarity with high velocity development using GenAI tools
About the team
Business Data Technology mission is to accelerate Amazon’s data-driven business, enable the next generation of analytics and machine learning technologies at scale, and raise the bar on global customer trust by cataloging, protecting, enriching, and brokering all SDO data through its lifecycle. Enterprise Data & Catalog (EDC)'s vision is to provide unified data access, fine-grained access controls, and enriched, descriptive metadata across all SDO data for all commonly used formats and storage types. Andes Cairns mission is to provide best of breed storage, catalog and compute for the largest data and highest scale analytical and AI jobs.