● Bachelor's degree in Computer Science or Computer Science and Engineering or arelated field.
● Able to communicate well in English
● Hands-on experience and strong proficiency on Python and ETL in 1-2 years (Extract, Transform, Load) Process.
● Must familiar with cloud platform (Amazon Web Service or Google Cloud Platform)
● Proven experience as a Data Engineer or Data Scientist or software Engineer
● Experience in machine learning projects is a plus
● Problem-solving aptitude and strong analytical ability
● Design, implement and manage end to end data pipelines (ETL, data streaming and warehousing) so as to make data easily accessible for analysis.
● Connecting data of an application, marketing, sales, etc that will be used in the next process.
● Create and review technical and user-focused documentation for data solutions (data models, data dictionaries, business glossaries, process and data flows,architecture diagrams, etc.).
● Collaborate with management, analysts, developers, architects, and engineers to support data quality efforts.
● Solve for complex data integrations across multiple systems.
● Ensure and support the data architecture utilized by data scientists and analysts.