Software Development Engineer, Open Data Analytics - Engines

Description

AWS Open Data Analytics (ODA) organization is looking for exceptional engineers to help in our mission to provide the world’s best cloud Big Data processing platform and services such as EMR and Athena. The ODA engines team is looking for an experienced engineer to join the core engines and datalake team. Athena and EMR are services that our customers use to run large scale analytics, leveraging open source engines like Apache Spark and Trino, with datalake open table formats like Apache Iceberg, Hudi and Delta. The analytics engines 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 with these engines and table formats. Additionally, we strive to regularly contribute features, bug fixes and optimizations back to open-source, as well be current with the latest open-source versions of these frameworks. This is a "must-win" strategic area in a growing and very technical space. We are seeking a passionate and hands-on engineer to collaborate closely with open-source communities like Apache Iceberg and Apache Spark, driving innovations in query engines and table format integrations.

Key job responsibilities

• Develop and optimize core components of query engines and open table formats (Iceberg, Hudi, Delta) to enhance performance, scalability, and reliability.
• Design and implement innovative solutions and algorithms to improve feature capabilities, stability, and security in table format integrations with query engines.
• Collaborate with the open-source community, contributing to discussions, driving improvements, and integrating upstream changes.
• Ensure data consistency and durability while achieving breakthrough performance and scalability for large-scale data lake workloads.
• Improve the organizations automation and testing capabilities.
• Manage complex deliverables project and research projects with deadlines.
• Mentor and train other 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 engine.

About The Team

AWS is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Amazon is committed to a diverse and inclusive workplace. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit here for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at here.