Software Development Engineer, Open Data Analytics - Engines

AWS Open Data Analytics Engineer 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. 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.

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.

Our engineers collaborate across diverse teams, projects, and environments to have a firsthand impact on our global customer base. You'll bring a passion for innovation, data, search, analytics, and distributed systems.