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編輯

 基本信息: 





本科





廣東深圳



13800138000

BD@100chui.com

? 姓名: 錘子簡(jiǎn)歷

世界屬于那些勤于思考的人，更屬于那些善于行動(dòng)的人。

 求職意向: 
大數(shù)據(jù)工程師


廣東深圳


8K-10K


一周內(nèi)到崗

 教育背景: 2009.09-2013.07

錘子簡(jiǎn)歷大學(xué)

電子信息工程

 工作經(jīng)驗(yàn)

2017.10-2019.05

錘子簡(jiǎn)歷公司

大數(shù)據(jù)工程師

負(fù)責(zé)PG數(shù)據(jù)庫(kù)架構(gòu)定制，編寫運(yùn)維文檔，還有數(shù)據(jù)庫(kù)備份，其中有邏輯備份和prpt備份。
負(fù)責(zé)docker私有庫(kù)安裝部署管理，k8s運(yùn)維管理，容器編排，Devops運(yùn)維方案的制定。
主從維護(hù)，xtrabackup備份，percona-toolkit的使用，定義計(jì)量的標(biāo)準(zhǔn)，即構(gòu)成產(chǎn)品所需的ITEM信息，以及產(chǎn)品的不同模型，定義模型之間匹配優(yōu)先級(jí)。
負(fù)責(zé)集群搭建和配置，通過(guò)Spark Streaming對(duì)數(shù)據(jù)進(jìn)行清洗。
對(duì)前期的需求進(jìn)行分析，對(duì)接客戶，提供技術(shù)上的支持。

2013.08-2017.09

錘子簡(jiǎn)歷公司

大數(shù)據(jù)工程師

基于大數(shù)據(jù)技術(shù)的開發(fā)，完成公司其他部門的多種數(shù)據(jù)要求。
負(fù)責(zé)分析所有數(shù)據(jù)的來(lái)源，以及數(shù)據(jù)的抽取、轉(zhuǎn)換、加載工作。根據(jù)業(yè)務(wù)定位看要做哪些數(shù)據(jù)轉(zhuǎn)化，接著配置數(shù)據(jù)采集任務(wù)。
具有較強(qiáng)需求分析和設(shè)計(jì)能力，保障迭代內(nèi)容按質(zhì)按量交付，解決在工作過(guò)程中前臺(tái)開發(fā)人員遇到的數(shù)據(jù)庫(kù)的相關(guān)問(wèn)題，并尋找恰當(dāng)方法，著手解決。
根據(jù)需求要實(shí)現(xiàn)的功能進(jìn)行表結(jié)構(gòu)設(shè)計(jì)。完成UT測(cè)試，輸出UT測(cè)試文檔，并根據(jù)測(cè)試提交的BUG進(jìn)行定位、解決問(wèn)題，調(diào)優(yōu)在測(cè)試過(guò)程中出現(xiàn)的數(shù)據(jù)傾斜問(wèn)題。

 自我評(píng)價(jià): 熟悉hadoop生態(tài)圈一些開源組件flume、sqoop、zookeeper等，熟悉Java，Linux，熟悉關(guān) 系型數(shù)據(jù)庫(kù)mysql、oracle，熟悉數(shù)據(jù)倉(cāng)庫(kù)hive，會(huì)寫SQL語(yǔ)句，熟悉yarn工作原理及 mapreduce原理，了解hbase，spark，spark_rdd 性格開朗，為人細(xì)心，做事一絲不茍，能吃苦耐勞，工作腳踏實(shí)地，有較強(qiáng)的責(zé)任心，具有團(tuán)隊(duì)合作精神，又具有較強(qiáng)的獨(dú)立工作能力，思維活躍。

? 項(xiàng)目經(jīng)歷

2016.03-2016.06

三好網(wǎng)教學(xué)管理中心師資教學(xué)質(zhì)量分析系統(tǒng)

項(xiàng)目負(fù)責(zé)人

首先通過(guò) Sqoop 將 MySQL 中所需數(shù)據(jù)導(dǎo)入至 HBase，通過(guò) PySpark 讀取 HBase 中數(shù)據(jù)進(jìn)行 ETL 和預(yù)關(guān)聯(lián)成大基表存至 HBase 和 MySQL。
數(shù)據(jù)整合成訓(xùn)練集，模型訓(xùn)練生成模型文件，存至 Redis，根據(jù)需求，編寫ETL調(diào)度概要、詳細(xì)設(shè)計(jì)文檔。根據(jù)產(chǎn)品經(jīng)理和運(yùn)營(yíng)經(jīng)理需求，用python進(jìn)行數(shù)據(jù)清洗和數(shù)據(jù)分析，編輯進(jìn)excle進(jìn)行數(shù)據(jù)匯報(bào)。
利用Spark sql對(duì)訪問(wèn)行為進(jìn)行準(zhǔn)實(shí)時(shí)分析及日常KPI指數(shù)報(bào)表分析任務(wù)，負(fù)責(zé)系統(tǒng)的開發(fā)，對(duì)系統(tǒng)進(jìn)行日常更新和維護(hù)。

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