about the company
a leading fintech company that offers investment solutions. Utilizing advanced technology, they provides a platform for individuals to invest in diversified portfolios. The company aims to make investing more accessible and transparent, catering to a global audience seeking financial growth.
about the role
the role involves building, expanding, and optimizing data systems and pipeline architecture, as well as enhancing data flow and collection for various business departments. You will be developing data systems, managing numerous ETL jobs, and optimizing data processes from the ground up while ensuring a consistent, optimal data delivery architecture throughout ongoing projects.
about the job
... - develop and maintain a centralized data system, incorporating an efficient data pipeline architecture, data warehouse, data lake, and data hubs.
- assemble large, complex data sets that fulfill both functional and non-functional business requirements.
- create the infrastructure necessary for optimal data extraction, transformation, and loading from various sources using SQL, event streams, and AWS 'big data' technologies.
- build analytics tools and reports that leverage the data pipeline to provide actionable insights into customer acquisition, operational efficiency, and other critical business performance metrics.
- ensure data security and separation across national boundaries by utilizing multiple data centers and AWS regions.
- collaborate with stakeholders and teams to address data-related technical issues and support their data infrastructure needs.
knowledge, skills and experience
- 2 to 4 years of experience in data engineering
- a degree in computer science, statistics, informatics, information systems, or another quantitative field
- proficienty in both Python and SQL
- knowledge of databases such as NoSQL and postgreSQL
- experience with big data systems, pipelines, architectures, datasets, and ETL tools
- strong analytical skills for working with complex and unstructured datasets
- ability to perform root cause analysis to address specific business data questions
- experience in creating and enhancing processes that support data transformation, data structures, metadata, dependency, and workload management
how to apply
interested candidates may contact Hua Hui at +6017 960 0313 for a confidential discussion.