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Data Engineer, Digital Bank in Singapore at UOB Group

Date Posted: 8/19/2018

Job Snapshot

  • Employee Type:
    Full-Time
  • Location:
    Singapore
  • Job Type:
  • Experience:
    At least 3 year(s)
  • Date Posted:
    8/19/2018

Job Description

Functional area: Personal Financial Services (PFS)
Employment type: Full-time
Job Type: Permanent

You will be part of a very vibrant and dynamic team at the heart of the new UOB Digital Bank that is innovating the way the customers engage with bank through the most customized experiences possible. As a Data Engineer, you’ll be in a key role that provides solutions for data management, data integration, data modelling and visualization.
We will be expecting you to have extensive experiences in all aspects of designing, constructing and managing data warehouses and operational data stores. The data engineer will also perform analysis of data requirements, data profiling and metadata mappings to create ideal data analytics environment for customer engagement . 
 
Responsibilities:
  • Design, develop and deploy strategic solutions on data management to meet the analytical needs of the Digital Bank
  • Develop and maintain data models and process workflow using the data that exists in Data Lake and/or source system.
  • Develop and maintain the metadata definitions, metadata repositories and corresponding documentations.
  • Ensure the data integrity, quality, consistency and stability.
  • Work closely with data analysts and data scientists to develop analytical solutions and support with data queries and data provisioning.
  • Work closely with IT groups and coordinate the requirements that involve data and/or analytics platform in Digital Bank, e.g. automation, optimization, UAT, tool deployment.
  • Undertake research to identify opportunities of sourcing new data.
  • Ensure the availability and maintenance of all analytics and visualization tools.
  • Maintain and monitor the developed dashboards / reports.
Job Requirements:
  • Experiences in meta data management, data transformation, and data integration.
  • Knowledge of SQL database technologies, Hadoop, distributed computing, big data analytics and data visualization tools (Tableu, Qlik, Power BI).
  • Ability to profile a database using SQL to understand data inconsistencies and issues.
  • Experience in bank / financial institution systems would be favorable.
  • Knowledge of Adobe Analytics / Campaign is a strong plus.
  • Knowledge of data visualization tools, e.g. Tableau, Qlik, Power BI, is a strong plus.
  • Good verbal and written communication skills.
  • University degree, preferably in computer science, Information Systems, Business Analytics or related disciplines.
  • Minimum 3 years working experience in data analytics or business intelligence units, preferably in financial industry.
  • Self-motivated. Can-do spirit.