心动TapTap 资深大数据开发工程师(上海)
社招全职3-5年技术大类地点:上海状态:招聘
任职要求
本科及以上学历,3-5 年以上数据研发经验; 有丰富的离线数据仓库研发经验,熟悉数据仓库、数据体系和数据价值的建设及优化; 有比较好的业务理解和沟通能力,可以独立与业务方对接,并将业务需求转化为数据需求进行交付; 熟悉大数据架构,具备实时或离线数据研发能力,熟悉 Hive,Kafka,Spark,Storm,Hbase,Flink 等相关技术并有相关开发经验; 有过内容、社区业务经验,“埋点-流量"、“指标体系”建设方向落地经验,熟悉阿里云 Dataworks/MaxCompute 优先; 具备快速学习、跨团队协作、落地执行能力,有较强的逻辑思维能力和解决问题能力。
工作职责
负责 TapTap 基础数据建设(涵盖开发者运营、商店等业务方向),提供通用、稳定、丰富、高效的公共数据能力,提升数据支持业务的效率,探索数据的增量价值; 面向开发者运营、商店等业务方向,建设专题数据,提供丰富易用的数据服务,直接支持业务决策分析,赋能业务; 在整体数据建设和服务的过程中,落地埋点规范、质量保障规范,提升埋点质量和易用性,保障数据服务的数据质量和数据产出的稳定性。
包括英文材料
学历+
数据仓库+
https://www.youtube.com/watch?v=9GVqKuTVANE
From Zero to Data Warehouse Hero: A Full SQL Project Walkthrough and Real Industry Experience!
https://www.youtube.com/watch?v=k4tK2ttdSDg
大数据+
https://www.youtube.com/watch?v=bAyrObl7TYE
https://www.youtube.com/watch?v=H4bf_uuMC-g
With all this talk of Big Data, we got Rebecca Tickle to explain just what makes data into Big Data.
Hive+
[英文] Hive Tutorial
https://www.tutorialspoint.com/hive/index.htm
Hive is a data warehouse infrastructure tool to process structured data in Hadoop. It resides on top of Hadoop to summarize Big Data, and makes querying and analyzing easy.
https://www.youtube.com/watch?v=D4HqQ8-Ja9Y
Kafka+
https://developer.confluent.io/what-is-apache-kafka/
https://www.youtube.com/watch?v=CU44hKLMg7k
https://www.youtube.com/watch?v=j4bqyAMMb7o&list=PLa7VYi0yPIH0KbnJQcMv5N9iW8HkZHztH
In this Apache Kafka fundamentals course, we introduce you to the basic Apache Kafka elements and APIs, as well as the broader Kafka ecosystem.
Spark+
[英文] Learning Spark Book
https://pages.databricks.com/rs/094-YMS-629/images/LearningSpark2.0.pdf
This new edition has been updated to reflect Apache Spark’s evolution through Spark 2.x and Spark 3.0, including its expanded ecosystem of built-in and external data sources, machine learning, and streaming technologies with which Spark is tightly integrated.
Apache Storm+
[英文] Tutorial
https://storm.apache.org/releases/2.6.0/Tutorial.html
In this tutorial, you'll learn how to create Storm topologies and deploy them to a Storm cluster.
https://www.baeldung.com/apache-storm
This tutorial will be an introduction to Apache Storm, a distributed real-time computation system.
HBase+
[英文] HBase Tutorial
https://www.tutorialspoint.com/hbase/index.htm
HBase is a data model that is similar to Google's big table designed to provide quick random access to huge amounts of structured data. This tutorial provides an introduction to HBase, the procedures to set up HBase on Hadoop File Systems, and ways to interact with HBase shell.
Flink+
https://nightlies.apache.org/flink/flink-docs-release-2.0/docs/learn-flink/overview/
This training presents an introduction to Apache Flink that includes just enough to get you started writing scalable streaming ETL, analytics, and event-driven applications, while leaving out a lot of (ultimately important) details.
https://www.youtube.com/watch?v=WajYe9iA2Uk&list=PLa7VYi0yPIH2GTo3vRtX8w9tgNTTyYSux
Today’s businesses are increasingly software-defined, and their business processes are being automated. Whether it’s orders and shipments, or downloads and clicks, business events can always be streamed. Flink can be used to manipulate, process, and react to these streaming events as they occur.
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