Amazon Web Services 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 customer 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. In this role, you will focus on performance optimizations, feature enhancements, stability improvements, and security hardening, making deep contributions across the query engine and table format codebases. As a key member of the Engines team, you will shape the technical direction, influence design decisions, implement critical features, and foster collaboration with both internal teams and the open-source community.
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