Software Development Engineer, Open Data Analytics Engines - Spark

Company:  Amazon
Location: Seattle
Closing Date: 29/10/2024
Salary: £100 - £125 Per Annum
Hours: Full Time
Type: Permanent
Job Requirements / Description

Software Development Engineer, Open Data Analytics Engines - Spark

Job ID: 2740236 | Amazon Web Services, Inc.

The analytics team is looking for an experienced engineer to join the core engines team.

Athena and EMR are services that our customers use to run large scale analytics, leveraging open source engines like Trino and Spark. The analytic engine organization makes significant modifications to these engines to run in serverless environments and with superior performance and scalability than what is available in Open Source. In the last 3 years we have improved our engines by a factor of 5x by making changes to the optimizer, query runtime and storage connectors. We have also made significant changes to the compiler to enable enterprise features like fine grain access control. This is a “must-win” strategic area in a growing and very technical space.

We are looking for a hands-on engineer to help us improve the engine further. As an Engineer on the engines team, you will help with design and implementation of key features and performance optimizations for query engines.

AWS Utility Computing (UC) provides product innovations — from foundational services such as Amazon’s Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS’s services and features apart in the industry. As a member of the UC organization, you’ll support the development and management of Compute, Database, Storage, Internet of Things (Iot), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services.

Key job responsibilities:

  1. Hands-on development for core components of the query engine
  2. Design and develop solutions and algorithms to improve the performance of Spark
  3. Design and develop improvements to the AWS Runtime for Spark’s integration with other AWS services
  4. Manage complex deliverables project and research projects with deadlines
  5. Ensure data consistency and durability with breakthrough performance and scalability
  6. Interact and partner with the open source community

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

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.

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