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Open nowPosted 376 days ago

大数据平台后端工程师（数据集成方向）

tq2pllvokz/yunqitech5 open roles

Where
Hangzhou, Zhejiang, Chinese Mainland
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Your applicationOpen now大数据平台后端工程师（数据集成方向）tq2pllvokz/yunqitech · Hangzhou, Zhejiang, Chinese Mainland

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The clock on this job

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12.3% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.3%7 days
  4. 19.3%14 days
  5. 35.6%30 days
  6. 57.8%60 days
This job: posted 376 days ago

The posting

我们正在寻找一位专注于数据集成领域的大数据平台后端工程师。您将作为核心成员，参与设计、构建和维护公司新一代的实时数据集成平台。负责从各类异构数据源（数据库、消息队列、文件等）中高效、可靠地同步海量数据至数据湖，为下游的数据分析、机器学习、实时应用提供统一、高质量的数据来源。

如果您对用技术解决复杂的数据流动问题充满热情，并渴望在Flink、CDC等前沿技术领域深入探索，那么这个职位将非常适合您。

主要职责 设计与开发： 1. 负责设计、开发和优化高性能、高可用的实时/批量数据同步服务与工具。 2. 深入研究和应用 CDC 技术，负责各类数据库的 CDC 数据采集 模块的设计与实现。 3. 基于 Apache Flink 构建稳定、高效的实时数据集成与ETL管道。 4. 负责数据集成平台核心功能的开发，包括任务调度、容错处理、数据校验、指标监控等。 平台与架构： 1. 参与数据集成平台的整体架构设计与演进，解决海量数据同步下的扩展性、稳定性和成本问题。 2. 持续优化数据同步的性能和延迟，提升平台服务等级协议。 运维与支持： 1. 保障线上数据集成任务的稳定运行，快速定位并解决生产环境中的技术问题。 2. 编写详细的技术文档，并为内部用户提供技术支持。

1. 精通 Apache Flink，有丰富的实战经验，深刻理解其运行时机制、状态管理和容错原理。 2. 深入理解 CDC 技术，具备至少一种主流数据库的CDC实践经验，例如：MySQL、PostgreSQL、Oracle、MongoDB 等。 3. 熟练掌握 Java 或 Scala 语言，具备良好的编程习惯和系统设计能力。 4. 熟悉至少一种关系型数据库和一种NoSQL数据库，了解其内部机制和事务原理。 5. 熟悉 Kafka、HDFS、Hive、Spark 等大数据组件中的至少两种。 优先考虑： 1. 有从零到一搭建或深度参与过数据集成/同步平台开发的经验。 2. 熟悉 Debezium、Canal、Flink CDC Connectors 等开源CDC项目，并有相关使用或二次开发经验。 3. 熟悉 Kubernetes 容器化部署和管理，有云平台经验者优先。 4. 了解数据血缘、数据质量管理等相关领域。

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