Manager, Data Engineer, UOBAM
Identify data automation opportunities, and either work with IT to implement technology solutions or develop scripts to enable the delivery of data for POC purpose and quick prototyping needs.
Drive data automation for Data Management, Business Intelligence and Advanced Analytics.
Lead data infrastructure projects such as data lake, data warehousing and data hub applications.
Identify new sources of data that drives competitive advantage for the firm.
Partner with data governance to identify data quality issues and propose improvement opportunities.
Partner with external data providers and downstream applications to improve flow of data.
Educate data stewards and power users within each business units on data automaton technical skills.
Degree in Computer Science / Finance (or equivalent) with minimum 5 years of relevant working experience in Asset Management and 10 years in business analysis and business intelligence areas.
Highly experience in data automation scripts PHP, PERL, R, Python and SQL.
Highly experience in batch and real time data processing with good working knowledge in EAI and ETL.
Highly experience in data warehousing and business intelligence concepts.
Clear communicator in emails to stakeholders and able to communicate with confidence with business analysts and developers and stakeholders
Creative thinking in problem-solving, and appreciates details with ability to focus on deadlines and deliverables
Sense of ownership with can-do attitude
Independent worker with excellent time management and good organisational skills in a fast-paced, deadline-centric environment