精选DS岗位丨Scholastic Corporation、Ford Motor Company、Visa等公司开放岗位！

为大家献上今天的精选岗位！

👇👇👇

• Bachelor’s degree in Computer Science, Computer Engineering, Engineering, Math or a closely related quantitative discipline and two years of experience as a Data Engineer, Data Warehouse Analyst, Data Warehouse Solution Architect, Graduate Assistant, or a closely related occupation.

• Also requires at least one year of experience in the following:

• SQL skills for purposes of data extraction, transformation, cleaning, and analysis.

• Excel, SAS, R or Python skills in analysis, statistics, and charting.

• Setting up framework for Operational Data Store where data from other systems will be available in real time for reporting and analysis.

• Creating a run book for migrating processes from the python-based code to AWS Glue Framework.

• Setting up automated life cycle policies on AWS Sage maker to shut down the resources when not in use to save cost.

• Setting up data transformation tool (new ETL tool) which will be used by the team.

• Supporting the daily production jobs that run on complex data pipelines using ERMs and EC2s; and using GIT as standards for source code control and change management processes.

职位申请链接（请直接复制至浏览器打开）

https://scholastic.wd5.myworkdayjobs.com/en-US/External/job/New-York-New-York/Data-Engineer-Analyst-Associate_R13321?Country=bc33aa3152ec42d4995f4791a106ed09&jobFamilyGroup=88f101cb83a84ab6a5a06df70e0c505d&jobFamilyGroup=b56865245e494669bad1614c8bd5e1bf&workerSubType=e0951269981d44c481fbfb4c8f7bdd2d

行业分类：Automotive

公司规模：186,000

工作地点：Dearborn, MI, United States (Hybrid)

职位要求：

• equires a bachelor’s or foreign equivalent degree in computer science, computer engineering, information technology, electronic engineering, or a related field 

• 2 years of experience in the position offered or 2 years of experience integrating data from multiple data sources; designing, building, and maintaining data-intensive applications; or managing data, performing data transactions, and preparing analytical data modeling.

• 2 years of experience performing data ETL processes; or performing command line loading and manipulating files in HDFS and Hadoop using SQL. 

• 2 years of experience creating data products using Scala or PySpark to share with internal and external customers; or coding using Java, Python, Hadoop, HDFS, Apache Spark, Hive, HQL, Shell, HDFS, Map Reduce, Oozie, Ambari, Alteryx, or applications within the Google Cloud Platform. 

• Employee reports to office in Dearborn, MI. Position may work from home, but must live within commuting distance of stated office. 

• Experience may be, but need not be, acquired concurrently.

职位申请链接（请直接复制至浏览器打开）

https://efds.fa.em5.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1/job/28699/?lastSelectedFacet=LOCATIONS&mode=location&selectedLocationsFacet=300000000425727%253B300000000425151

行业分类：Financial services, Credit cards, Payment systems

公司规模：26,500 

工作地点：Washington, DC

职位要求：

• Master's degree in Statistics, Operations Research, Applied Mathematics, Economics, Data Science, Business Analytics, Computer Science, or a related field and 1 year of experience in the job offered or in a Data Scientist-related occupation.

• Extracting and aggregating data from large data sets using SQL/Hive or Spark;

• Analyzing large data sets using Python, R, SQL and/or Spark;

• Generating and visualizing data-based insights in Tableau or Power BI

• Microsoft Office software such as Word, Excel, PowerPoint and Teams;

• Jupyter notebooks, Python, or SAS;

• Data mining and statistical modeling

职位申请链接（请直接复制至浏览器打开）

https://corporate.visa.com/en/jobs/REF70502N