Design, implement and operate our data platforms.
Improve observability so we catch issues before our users do.
Build automation to reduce toil and allow our systems to scale.
Support and own reliability of critical services (e.g. HDFS, Kafka and Dremio).
Drive long-term architectural improvements, not just fixing issues, but preventing them.

🎯 Requirements

Strong experience managing distributed data platforms (e.g. Kafka, Hadoop, Spark, Dremio)
Hands on experience deploying, configuring and orchestrating software on Linux and Kubernetes, with
Strong experience with infrastructure as code (Ansible preferred) and best practices.
Proficient programming experience in Python.
Ability to read, write and tune SQL queries.
Comfortable reading Java source code, tuning and debugging running JVMs.

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