Key Responsibilities:

Become to Cloudera’s Data Engineering Experience
Contribute to Apache Spark
Develop new features in Scala/Java/Python on a modern platforms
Gain expertise in distributed data processing, from SQL planners and optimizers, to data layout and table formats like Apache Parquet and Iceberg, to fault tolerance in distributed systems.
Gain a solid understanding and deep technical knowledge of components across the Cloudera Data Engineering Experience stack, but focusing on Iceberg and Spark, which you can utilize in your daily tasks
Get to work on large scale distributed systems, from 100s to 1000s of nodes, in production clusters
Debug system level deployment issues, root cause analysis, perform system test analysis and resolve failures
Work on improving internal infrastructure
Collaborate with other team members and stakeholders

Requirements:

Bachelor’s degree in Computer Science or equivalent, and 10+ years of experience; OR Master’s degree and 6+ years of experience; OR PhD and 4+ years of experience
Experience leading and delivering complex product enhancements.
We use Java/Scala/Python/GoLang in projects, you should have a strong understanding of at least one of the following languages: Java, Scala, GoLang, Rust, C++, Python. And interested to learn the languages we’re using.
Experience with systems design, development.
Passionate about programming, clean coding habits, attention to detail, and focus on quality
Strong oral and written communication skills.
Strong ability to research and solve problems independently without constant supervision
(Most importantly) Open-minded, desire to learn new things and build great products.

You may also have:

Experience with distributed systems
Experience with SQL planners
Experience with using/developing Apache Spark or other related technologies.
Experience with large-scale, distributed systems design and development with an understanding of scaling, performance, and scheduling.
Solid experience with at least one cloud service (AWS, Azure, GCP, OpenShift)
Contributors to open-source projects.

What you can expect from us:

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