大数据分析师

岗位职责:

-负责大型数据生态系统的需求收集，设计，开发和测试，包括数据管理，治理以及结构化和非结构化数据的集成

-定义并建立大规模的流数据处理管道。

-研究数据，识别模式并将其转换为算法

-与团队成员和业务部门有效合作，并根据需要担任SME和指导者

-在混合了onshore 和 offshore的敏捷环境中工作

Key Objective of the role:

- Responsible for requirement gathering, design, development, and testing of large-scale data ecosystem including data management, governance and the integration of structured and unstructured data

- Define and build large-scale streaming data processing pipelines.

- Study data, identify patterns, and convert it to algorithms

- Effectively collaborates with team members and business units and acts as a SME and mentor as needed

- Works in an Agile environment with a mix of onshore and offshore resources

要求：

-计算机科学，信息系统，信息管理，商业统计学位或同等学历；

-在数据管理项目（包括Informatica PowerCenter，Informatica DEI等工具）方面具有至少4年的丰富实践经验。

-2年使用大数据生态系统的经验，包括Hadoop，Spark，HBase，Hive和Kafka等工具

-精通Python，Scala或类似语言

-数据湖，数据集线器实施方面的经验

-具有AWS或Azure平台知识者优先

-出色的数据集成方案分析和问题解决能力，可以快速识别，隔离和解决技术问题

-良好的分析和沟通能力

-经验较少的候选人也将被考虑

Requirement:

- Degree in Computer Science, Information Systems, Information Management, Business Statistics or equivalent;

- At least 4 years of strong hands-on experience in data management project including tools such as Informatica PowerCenter, Informatica DEI.

- 2 years’ experience working with Big Data ecosystem including tools such as Hadoop, Spark, HBase, Hive and Kafka

- Proficiency in Python, Scala or similar languages

- Experience on data lakes, datahub implementation

- Knowledge on AWS or Azure platforms is a plus

- Excellent analytical and problem-solving skills to data integration scenarios and quickly recognize, isolate, and resolve technical problems

- Good analytical and communication skills

- Candidate with less experience will also be considered

李先生 聊一聊

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