PDA- 大数据开发工程师 - 杭州 – 硕士-全职 (职位编号：01)
思科（中国）有限公司上海分公司
- 公司性质：外资（欧美）
- 公司行业：专业服务(咨询、人力资源、财会)
职位信息
- 发布日期：2021-01-12
- 工作地点：杭州
- 招聘人数：若干人
- 工作经验：硕士
- 学历要求：招若干人
- 语言要求：不限
- 职位类别：研究生
职位描述
部门介绍:
PDA(Portal and Data Analytics) team负责Cisco协作产品大数据分析平台的设计与建设; 并基于客户、 产品设计者、管理者、工程师团队等的不同需求，分析客户的使用、服务的质量、产品的运行情况等，为业务决策提供科学的数据分析支持。
工作职责:
跨团队合作，理解业务需求
把业务需求转换成系统与技术需求
参与大数据批处理与实时处理方案的设计
参与数据挖掘和数据处理代码的编写与测试
理解并实现相关的机器学习模型与算法
建立相应的技术文档
职位要求:
全职人员须符合以下需求 (要求有扎实的专业基础， 了解或接近相关的技术需求
基本需求
o 数学、计算机科学、软件工程、信息管理或统计相关专业研究生
o 对大数据技术领域有强烈的兴趣
o 敢于担当的工作态度，能按时完成任务;
o 良好的书面与口头英语沟通能力
技术需求
o 理解分布式计算原理
o 熟悉Hadoop v2, MapReduce, HDFS
o 有批处理和实时处理开发的相关知识或经验，如Kafka Streaming, Flink, Spark, Spark-Streaming
o 掌握大数据查询的相关工具，如Presto, Hive, Impala
o 具备多数据源的集成开发的相关知识或经验
o 具备大数据存储的相关知识或经验, 如Mycat+Mysql, TimeScaleDB, Kudu, HBase, Cassandra
o 具备多种ETL的相关知识或经验，如Flume
o 具备多种消息系统的知识或经验，如Kafka
o 具备使用机器学习相关工具包的相关知识或经验，如SparkML, Mahout
o 具备Cloudera的相关知识或经验
PDA - Big Data Engineer – Hangzhou - Master
Department introduction:
PDA (Portal and Data Analytics) team is responsible for designing and building Cisco collaboration product data analytics platform. Meanwhile, based on various requirements from customer, product management, executive and engineering teams, we make usage data, quality data and operation data analytics to drive business by data science.
Position responsibilities:
Work along with cross functional teams to understand business requirement
Translates business requirements into system and technical requirements
Participate in Big Data batch/real-time processing solution design
Program and test data mining, data processing jobs
Understand and implement relevant machine learning models and algorithms
Create relevant technical documents
Requirements:
Meet or be high potential for the below requirements
? Common requirements
o Master degree in Mathematics, Computer Science, Software engineering, Information Management or Statistics
o Intense interest in big data technology area
o Can-do attitude and get things done on time
o Good written and verbal English communication skills
Technical requirements
o Proficient understanding of distributed computing principles
o Proficiency with Hadoop v2, MapReduce, HDFS
o Knowledge of or experience with building batch-processing and stream-processing systems, using solutions such as Kafka Streaming, Flink, Spark, Spark-Streaming
o Good knowledge of Big Data querying tools, such as Presto, Hive, Impala
o Knowledge of or experience with integration of data from multiple data sources
o Knowledge of or experience with big data storage, such as Mycat+Mysql, TimeScaleDB, Kudu, HBase, Cassandra
o Knowledge of or experience of various ETL techniques and frameworks, such as Flume
o Knowledge of or experience with various messaging systems, such as Kafka
o Knowledge of or experience with Machine Learning toolkits, such as SparkML , Mahout
o Knowledge of or experience with Cloudera
职能类别：研究生