对应专业:Computer Science, Computer Engineering, Management Information Systems, or a related field
所需培训:N
培训时长:
所需培训领域:
前置经验:N
经验时长（月）:
替代领域学历:N
替代专业:
可替代教育及经验组合:N
所需教育层级:
其他可替代教育层级:
认可经验年限:
境外教育背景:Y
可替代职业:Y
可替代职业时长（月）:24
可替代职业名称:Please see Box #14.
是否为正常职业要求:Y
是否需要外语:N
特殊技能:Position requires a Bachelors degree in Computer Science, Computer Engineering, Management Information Systems, or a related field or foreign equivalent degree plus 2 years of technical experience building data pipelines at scale by extracting, cleaning and transforming data using Python, Bash scripting, Spark, SQL, and Hive; building dashboards, reports and application performance monitoring using Tableau Desktop and Splunk; designing and building infrastructure for big data workloads using AWS S3, Elastic MapReduce EMR, Glue catalog, Step functions, Redshift, CloudWatch and CloudTrail; automating and orchestrating data pipeline components in the workflow of fetchingmoving data from different source systems; and in the banking industry.br br Required to work nights weekends be oncall during nonbusiness hours as needed for testing and deployment purposes.br br BACKGROUND CHECKS AND FINGERPRINTING MAY APPLY. FOR APPLICATION SCREENING DETAILS GO TO HTTPSCAREERS.MUFGAMERICAS.COM.