Hortonworks is looking for exceptional Software Engineer to own and deliver HDP (Hive, HDFS, Yarn, Spark etc.) maintenance/partner releases. Exciting opportunity to gain experience working with Hadoop, understand big data use cases at world’s largest deployments of Hadoop, participate and contribute in vibrant Apache Software Foundation community. You would contribute to Apache projects with the opportunity to become a committer.
Drive HDP maintenance releases (perform system test analysis, deliver backports and develop new patches).
Debug system level deployment issues, root cause analysis, and resolve failures.
Work with Java / Scala on the different components and with Python on our test framework and tools.
Gain a solid understanding and deep technical knowledge of Hadoop components across the stack, which you can utilize in your daily tasks.
Work on improving the internal infrastructure.
Relevant studies / BS or MS in Computer Science or related field.
Strong knowledge in Java
Development experience in Linux environments.
Excellent communication and collaboration skills.
Good analytical and problem-solving skills.
Ability to work effectively both independently and as part of a team.
Experience (or demonstrated interest) in distributed computing or high availability systems is a plus.
Big Data / NoSQL / distributed database experience is a plus.
Previous open source contribution is a plus.
Hortonworks is a leading innovator in the industry, creating, distributing and supporting enterprise-ready open data platforms and modern data applications. Our mission is to manage the world’s data. We have a single-minded focus on driving innovation in open source communities such as Apache Hadoop, NiFi, and Spark. We along with our 1600+ partners provide the expertise, training and services that allow our customers to unlock transformational value for their organizations across any line of business. Our connected data platforms powers modern data applications that deliver actionable intelligence from all data: data-in-motion and data-at-rest. We are Powering the Future of Data™.