Software Development Engineer, Open Data Analytics Engines - Spark Engine P

at  Amazon Web Services Inc

• 5+ years of non-internship professional software development experience
• 5+ years of programming with at least one software programming language experience
• 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
• Experience as a mentor, tech lead or leading an engineering team
  The analytics team is looking for an experienced engineer to join the core engines team.
  Athena and EMR are services that our customer 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. We are looking to make deeper changes all around the query engine codebase. As an Engineer on the engines team, you will help with design and implementation of key features and performance optimizations for query engines.

To learn more about EMR, and the Spark Performance team’s work:

• AWS EMR: http://aws.amazon.com/emr
• AWS Big Data Blog: https://aws.amazon.com/blogs/big-data/

https://aws.amazon.com/blogs/big-data/amazon-emr-on-eks-widens-the-performance-gap-run-apache-spark-workloads-5-37-times-faster-and-at-4-3-times-lower-cost/
https://aws.amazon.com/blogs/big-data/run-apache-spark-3-5-1-workloads-4-5-times-faster-with-amazon-emr-runtime-for-apache-spark/
10024
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Key job responsibilities

• Hands-on development for core components of the query engine
• Design and develop solutions and algorithms to improve the performance of Spark
• Design and develop improvements to the AWS Runtime for Spark’s integration with other AWS services
• Manage complex deliverables project and research projects with deadlines
• Ensure data consistency and durability with breakthrough performance and scalability.
• Interact and partner with the open source community
• Be a point of contact for challenging customer issues around query engine problems

About the team

The team is composed of engineers that are either passionate about the engine internal space or have several years of experience (including PhD). Our managers are also extremely technical, having worked many years as developers. We manage our backlog with a research approach, where ideas are prototyped, validated with real data and then implemented. We all have families and see our work as a marathon, not a sprint, so we make sure we balance our work to avoid overpromising deliverables.

• 5+ 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. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $151,300/year in our lowest geographic market up to $261,500/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site

• Hands-on development for core components of the query engine
• Design and develop solutions and algorithms to improve the performance of Spark
• Design and develop improvements to the AWS Runtime for Spark’s integration with other AWS services
• Manage complex deliverables project and research projects with deadlines
• Ensure data consistency and durability with breakthrough performance and scalability.
• Interact and partner with the open source community
• Be a point of contact for challenging customer issues around query engine problem