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The Data Platform team enables our customers to ingest and perform real time analytics on critical security insights and intelligence data stored in our vast Data Lake and empower internal engineering teams to leverage the best datastore technology for their needs. Our Big Data technology stack consists of Kafka, Google PubSub, ClickHouse, Google BigQuery etc. We’re looking for software engineers with a background in distributed systems and are excited about the opportunity to work on large-scal

Minimum qualifications: Bachelor's degree or equivalent practical experience. 5 years of experience in product management or a related technical role. Preferred qualifications: 3 years of experience in product management, database systems, ETL, data lakes/warehouses, or Online Analytical Processing. Experience in life-cycle data rollouts, promoting product excellence and collaboration. Experience in leading cross-organizational efforts interacting with multiple director-level stakeholders. Exper

Description Language 流程運算引擎功能的技術研究、開發與維護，以及自動化效能優化； 負責雲端服務技術整合開發，Azure Batch/Data Lake Storage及 AWS Batch/S3； RESTful APIs 的開發維護和調試； 撰寫相關的技術功能文檔、使用者文件（Jupyter Boo