StarTree
StarTree is a company that provides real-time analytics solutions powered by Apache Pinot. Their platform allows users to run subsecond queries on petabyte-scale data for millions of users, making analytics affordable and efficient. StarTree offers enterprise support and a data management system that handles real-time and batch data with ultra-low latency. Their solutions cater to industries such as financial services, gaming, healthcare, and retail, enabling users to personalize offerings, manage risks, and detect fraud in real-time. StarTree emphasizes scalability, low cost, and high concurrency, making it an ideal choice for businesses looking to leverage data insights without extensive infrastructure overhead.
Technical Support Engineer
February 5
StarTree
StarTree is a company that provides real-time analytics solutions powered by Apache Pinot. Their platform allows users to run subsecond queries on petabyte-scale data for millions of users, making analytics affordable and efficient. StarTree offers enterprise support and a data management system that handles real-time and batch data with ultra-low latency. Their solutions cater to industries such as financial services, gaming, healthcare, and retail, enabling users to personalize offerings, manage risks, and detect fraud in real-time. StarTree emphasizes scalability, low cost, and high concurrency, making it an ideal choice for businesses looking to leverage data insights without extensive infrastructure overhead.
📋 Description
• Support is a cornerstone of success at StarTree and a highly valued function within the organization. • As a Technical Support Engineer, you will become a critical interface between customers and StarTree’s cross-functional teams. • Deliver exceptional technical expertise and drive customer satisfaction. • Become a subject matter expert on Apache Pinot and the StarTree Platform. • Provide on-call support for urgent production issues. • Help customers achieve success and provide trust in resolving complex challenges. • Learn and grow continuously with our evolving platform.
🎯 Requirements
• 4-6 years of experience in Pre/Post-Sales or Customer-facing roles. • Hands-on experience with open-source data technologies. • Familiarity with modern OLAP systems such as Apache Pinot, Druid, or Clickhouse is a plus. • Experience with big data technologies like Spark, Hadoop, and Presto/Trino is a plus. • Strong understanding of and hands-on experience with OLAP, Analytics, Kubernetes and SQL. • Experience and/or strong understanding of streaming technologies such as Apache Kafka. • Proven troubleshooting skills across systems, applications, network, JVM, and Linux-based applications. • Strong knowledge of cloud infrastructure patterns and services within at least one of the major public clouds: Amazon AWS, Google Cloud, or Microsoft Azure. • Bonus points: Certification in Solutions Architecture for one or more of the major public clouds (AWS, Google Cloud, or Azure). • Bonus points: Degree in Computer Science with a focus on Data Science, Data Engineering, or Data Analytics.
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