对应专业:Computer Information Systems, Analytics, Computer Engineering, or related field, or foreign degree
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）:12
可替代职业名称:experience in a datadriven role in the financial services industry.
是否为正常职业要求:Y
是否需要外语:N
特殊技能:Addendum to H.4, Education Minimum of a Masters degree in Computer Information Systems, Analytics, Computer Engineering, or related field, or foreign degree equivalent.br br Specific skills Academic or professional experience must have included the following Creating data quality reports; building algorithms for data cleansing, sanity checks, data transformations through statistical analysis to address missing value and suppress noise; developing and deploying code on cloud platforms; creating modular and scalable data pipelines using MLOps tools; leveraging ETL best practices with application of normalization techniques to address data problems; determining causes and fixing common programming errors, conducting performance tuning and optimization of runtime and storage, code review and testing; using the following tools PyCharm, VSCode, Databricks, AWS, Azure, GCP, R Studio, Microsoft SSMS, Oracle, GitHub, Alteryx, MS Excel, traditional ETL tools, SQL, and Python.