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

- 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. 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 $129,300/year in our lowest geographic market up to $223,600/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.
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

Utility Computing (UC)
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 customers who require specialized security solutions for their cloud services.

About AWS
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.

Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.

Inclusive Team Culture
Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.

Mentorship & Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.


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


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.