腾讯招聘Senior Big Data Platform SRE Engineer
招聘职位：
Senior Big Data Platform SRE Engineer 搜索同类职位
岗位职责：
1. Oversee the operation and maintenance of Tencent's overseas big data platforms to ensure platform and cluster stability.
2. Assist users in resolving issues related to big data platform usage, including but not limited to platform operations, component errors, and performance optimisation.
3. Optimise existing service workflows, standards, and pain points, and propose actionable solutions.
4. Develop front-end/back-end operational efficiency tools, including but not limited to: capacity management platforms, DevOps frameworks, coverage analytics, automation systems, and health monitoring.
5. Optimise big data cluster costs by implementing new technologies or architectures to improve processing efficiency and reduce operational expenses.
Work Location: Singapore-CapitaSky
岗位要求：
1. Proficient in ≥2 of these big data technologies: HDFS, YARN, Flink, Spark, Presto, Hive, HBase, StarRocks.
2 . Skilled in ≥1 programming language (Java/Python/Golang, etc.).
3. Expertise in Linux/Unix OS, system performance tuning, and failure resolution.
4.≥3 years of big data operation/development experience, with strong troubleshooting skills, technical sensitivity, and risk identification capabilities.
5 . Knowledge of mainstream big data platforms (e.g., Databricks, Snowflake) will be considered a strong plus.
1. Oversee the operation and maintenance of Tencent's overseas big data platforms to ensure platform and cluster stability.
2. Assist users in resolving issues related to big data platform usage, including but not limited to platform operations, component errors, and performance optimisation.
3. Optimise existing service workflows, standards, and pain points, and propose actionable solutions.
4. Develop front-end/back-end operational efficiency tools, including but not limited to: capacity management platforms, DevOps frameworks, coverage analytics, automation systems, and health monitoring.
5. Optimise big data cluster costs by implementing new technologies or architectures to improve processing efficiency and reduce operational expenses.
Work Location: Singapore-CapitaSky
岗位要求：
1. Proficient in ≥2 of these big data technologies: HDFS, YARN, Flink, Spark, Presto, Hive, HBase, StarRocks.
2 . Skilled in ≥1 programming language (Java/Python/Golang, etc.).
3. Expertise in Linux/Unix OS, system performance tuning, and failure resolution.
4.≥3 years of big data operation/development experience, with strong troubleshooting skills, technical sensitivity, and risk identification capabilities.
5 . Knowledge of mainstream big data platforms (e.g., Databricks, Snowflake) will be considered a strong plus.
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