Software Engineer in CrowdStrike's Data Engineering team, focused on building Spark ecosystems and scalable infrastructure. Collaborating with engineers to create solutions for cybersecurity challenges.
Responsibilities
Design and implement extremely scalable large scale distributed Spark cluster on Kubernetes platform optimized for Data center environment.
Perform and oversee a variety of functions to ensure that our Spark infrastructure on Kubernetes is available, reliable, stable and secure
Applies judgment in analyzing and selecting technologies, installation and maintenance of software and hardware systems that allow multiple Engineering and DataScience teams to interact with this system
Design, writes and own APIs, automate and generate reports to visualize cluster health.
Has responsibility for building and maintaining the Spark infrastructure such that software engineers, data analysts and data scientists can run jobs to gather data and insights.
Work on Query systems, like Apache Presto or Trino, Jupyter Notebooks
Requirements
Strong in one or both of field i.e., Spark ecosystem or Kubernetes ecosystem
Strong analytical skills and with deep understanding of Distributed Systems
Strong programming skills in languages as Go, Java or Python
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