The Impact You Will Drive:
- As an engineer on the Open Source team at Onehouse, you'll play a pivotal role in shaping and realizing the vision and roadmap for Apache Hudi, while also shaping the future of data lakehouse space.
- Collaborate across multiple teams within Onehouse, serving as the vital bridge between the open-source Apache Hudi project and Onehouse's managed solution, ensuring seamless collaboration and integration.
- Engage closely with community partners and contributors, serving as a steward of the Apache Hudi project, fostering collaboration and guiding its evolution.
- Champion a culture of innovation, quality and timely execution, enabling the team to deliver on the vision of the next-generation data lakehouse.
- Architect and implement solutions that scale to accommodate the rapid growth of our customer base, open source community and the ever-expanding demands of the datalake ecosystem at large.
A Typical Day:
- Build, design and deliver features/improvements to Apache Hudi.
- Ensure high quality and timely delivery of innovations and improvements in Apache Hudi.
- Dive deep into the architectural details of data ingestion, data storage, data processing and data querying to ensure that Apache Hudi is built to be the most robust, scalable and interoperable data lakehouse.
- Own discussions and work with open source partners/vendors to: troubleshoot issues with Hudi, ensure Hudi support in for compute engines like Pretso/Trino and act as the face of Hudi to the community at large via meetups, customer meetings, talks etc.
- Partner with and mentor engineers on the team.
What You Bring to the Table:
- 5-7+ years building large-scale data systems.
- You embrace ambiguous/undefined problems with an ability to think abstractly and articulate technical challenges and solutions.
- Positive attitude towards seeking solutions to hard problems, with a bias towards action and forward progress.
- An ability to quickly prototype new directions, shape them into real projects and analyze large/complex data.
- Strong, object-oriented design and coding skills with Java, preferably on a UNIX or Linux platform.
- Experience with inner workings of distributed (multi-tiered) systems, algorithms, and relational databases.
- Experience with large scale data compute engines / processing frameworks.
- Experience building distributed and/or data storage systems or query engines.
- An ability to prioritize across feature development and tech debt, balancing urgency and speed.
- An ability to solve complex programming/optimization problems.
- Robust and clear communication skills.
- Nice to haves (but not required):
- Experience working with open source projects and communities.
- Experience in optimization mathematics (linear programming, nonlinear optimization).
- Existing publications of optimizing large-scale data systems in top-tier distributed system conferences.
- PhD or Masters degree in a related field with industry experience in solving and delivering high-impact optimization projects.
Skills Required
- 5-7+ years building large-scale data systems
- Strong object-oriented design and coding skills with Java, preferably on UNIX or Linux
- Experience with distributed systems, algorithms, and relational databases
- Ability to quickly prototype new directions and analyze large/complex data
- Robust and clear communication skills
What We Do
Onehouse delivers a universal data lakehouse through a cloud-native managed lakehouse service built on Apache Hudi, which was created by the founding team while they were at Uber. Onehouse makes it possible to blend the ease of use of a warehouse with the scale of a data lake, by offering a seamless experience for engineers to get their data lakes up and running. Onehouse offers the widest interoperability for your data in the market across table formats, multiple compute engines and multiple cloud providers. We have a stellar team of inspired, seasoned professionals including data, distributed systems, and platform engineers from Uber, LinkedIn, Confluent, and Amazon. Our product team has helped build enterprise data products at major enterprises including Azure Databricks.









