Data Engineer (Python, SAS)

Our clients is a preeminent banking partner for institutions with cross-border needs, a global leader in wealth management and a valued personal bank in its home market of the United States. They are now looking for potential candidate to join their team as
Data Engineer (Python, SAS) .
Responsibilities
Incumbents work with large and complex data sets (both internal and external data) to evaluate, recommend, and support the implementation of business strategies
Identifies and compiles data sets using a variety of tools (e.g. SQL, Python, VBA, Access) to help predict, improve, and measure the success of key business to business outcomes
Responsible for documenting data requirements, data collection / processing / cleaning, and exploratory data analysis; which may include utilizing statistical models / algorithms and data visualization techniques
Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency.
Drive automation across various platform / application using Python / RPA / equivalent tools to increase the team productivity/efficiency.
Build processes and policies supporting data transformation, data structures, metadata, dependency, and data dictionary across the pipeline
Convert SAS based pipelines into languages like Python to execute on Hadoop and non-Hadoop ecosystems
Ability to research and assess open source technologies and components to recommend and integrate into the design and implementation
Requirements
2-5 years relevant experience
Bachelors/University degree in Computer Science, Computer Engineering, Mathematics, Business Analytics, Statistics or equivalent experience
Experienced in working with large and multiple datasets, data warehouses and ability to pull data using relevant programs and coding
Experience of SAS, SQL or equivalent programming syntax is essential
Experience in Python, hand‑on experience on using Python on automation and/or big data/machine learning/advance analytics
Experience on visualization tool like Tableau is a plus
Well versed with necessary data preprocessing and application engineering skills
To apply for this position, please simply click on the “APPLY” button.
If you are not contacted by our consultants within 2 weeks, please consider your application unsuccessful. All applications will be treated in strict confidence and used for recruitment purposes only in accordance with PERSOL Hong Kong Limited’s Privacy Policy.
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