Senior Data Analytics Engineer - Open Data Platform

Amazon; Redmond (WA); On-site; USD 168,000 - 227,000; Full time

Job summary

Amazon Web Services Open Data Analytics (ODA) is hiring engineers to advance a cloud Big Data platform with EMR and Athena, focusing on performance, security, and stability in query engines and table formats. You will collaborate with open-source communities, mentor teammates, and drive features across large-scale data lake workloads from Redmond, WA.

The role emphasizes design, implementation, testing, and cross-functional teamwork to deliver high-quality, available software in a startup-like

Responsibilities

• Design and implement solutions to improve feature capabilities, stability, and security in table format integrations.
• Collaborate with the open-source community, contributing improvements and integrating upstream changes.
• Ensure data consistency and durability while achieving breakthrough performance and scalability for large-scale data lake workloads.
• Improve the organization's automation and testing capabilities.
• Manage complex deliverables, projects and research with deadlines.
• Mentor and train team members on design techniques and coding best practices.
• Be a point of contact for challenging customer issues related to data lake workloads and query engines.
• Solve challenging technical problems at every layer of the stack.
• Design, implement, test, deploy and maintain software solutions to transform service performance, durability, cost, and security.
• Build high-quality, highly available, always-on products.
• Research implementations that deliver the best experiences for customers.

Job description

Amazon Web Services Open Data Analytics (ODA) is hiring engineers to advance a cloud Big Data platform with EMR and Athena, focusing on performance, security, and stability in query engines and table formats. You will collaborate with open-source communities, mentor teammates, and drive features across large-scale data lake workloads from Redmond, WA.

The role emphasizes design, implementation, testing, and cross-functional teamwork to deliver high-quality, available software in a startup-like