麦肯锡Data Engineer Intern申请开放

高薪校招 2022-09-27

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17届、18届、19届、20届等

国企、央企职位均有，日更

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关于麦肯锡

*图片来源于百度

麦肯锡公司（McKinsey & Company）是一家全球性管理咨询公司，于1926年成立于美国。

公司为企业和公共机构提供有关战略、组织、运营和技术方面的咨询。麦肯锡在大中华区完成了多个项目，涉及公司整体与业务单元战略、企业金融、营销/销售与渠道、组织架构、制造/采购/供应链、技术、产品研发等领域。

2018年12月18日，麦肯锡入选2018年度(第十五届)《世界品牌500强》排行榜，排名第196。

针对对象

2020年或2021年毕业；

PhDs、Postdocs、JDs、JD/MBAs；

以及非MBA研究生。

岗位描述

In this role you'll identify possible trends and patterns in the data, and communicate relevant findings that help support problem solving, insight generation and decision making.
You'll apply your understanding of client data sets and intended use to effectively capture, validate, cleanse, transform and upload data.
You'll perform quality checks to ensure consistency, integrity and robustness of data. You'll proactively identify potential issues (e.g., inconsistencies) with data quality, collection or reporting.
You'll support solution delivery team, often remotely, in managing client data.

岗位要求

University student in their junior year in a Computer Science, Engineering or equivalent program; expected graduation date of December 2019 or May 2020
Or, currently completing your first year in a non-business, 2-year masters program and have less than 2 years of work experience
Experience in multiple database technologies such as Distributed Processing (Spark, Hadoop, EMR), Traditional RDBMS (MS SQL Server, Oracle, MySQL, PostgreSQL), MPP (AWS Redshift, Teradata), NoSQL (MongoDB, DynamoDB, Cassandra, Neo4J, Titan)
Ability to structure and analyze data in appropriate framework (e.g., Excel, Access, VBA, SQL)
Passion for data tools and processes to drive business insights
Strong analytical thinking, process management and quality control
Ability to quickly understand and appreciate underlying business context, problems and objectives of analytical projects
Clear communication skills to run well defined analyses and produce reports
Excellent time management skills