Found Description
Join Databricks as a Distributed Systems Engineer to solve complex problems in log analytics and AI/BI. This opportunity offers hands-on experience with cutting-edge technologies.
As part of Databricks, you will engage with challenges involving log analysis and distributed systems design. The role requires a minimum of 5 years of experience with languages like Java, Scala, or C++, as well as expertise in big data frameworks such as Apache Spark and Hadoop. Your strong background in algorithms will be vital for success.
Key Responsibilities:
• Implement real-time log processing systems
• Design innovative business intelligence applications
• Manage data governance through Unity Catalog
• Work with Kubernetes and network components
• Ensure customer-centric solutions through software engineering
Requirements:
• Bachelor’s degree in a technical field or equivalent
• 5+ years of relevant engineering experience
• Proficiency in Java, Scala, or C++ programmin...
As part of Databricks, you will engage with challenges involving log analysis and distributed systems design. The role requires a minimum of 5 years of experience with languages like Java, Scala, or C++, as well as expertise in big data frameworks such as Apache Spark and Hadoop. Your strong background in algorithms will be vital for success.
Key Responsibilities:
• Implement real-time log processing systems
• Design innovative business intelligence applications
• Manage data governance through Unity Catalog
• Work with Kubernetes and network components
• Ensure customer-centric solutions through software engineering
Requirements:
• Bachelor’s degree in a technical field or equivalent
• 5+ years of relevant engineering experience
• Proficiency in Java, Scala, or C++ programmin...
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