Build data models & ETL pipelines for getting, processing, and delivering data that will make the company more data driven
Work with engineering, data science and product management teams to build and manage a wide variety of data sets
Partner with business teams and stakeholders across the organisation to understand their data and analytics needs
Run ad-hoc queries & exploratory data analyses that lead to actionable insights
Automate data processes; simplify and democratise access to usable data throughout the company
Requirements
degree or equivalent in Computer Science, Computer Engineering, or Statistics/ Sciences
Experience in data management architecture such as data warehouse, data lake, data hub
Experience in implementing ETL / Data Streaming / Data Analytics solution such as pyspark, Kafka
At least 2+ years of hand-on experience with data engineering development in handling structured and unstructured data from various data source systems
Experience in working in Agile projects
Knowledge in CI/CD or DevOps practices
Excellent communication and written skill including Chinese and English