02 Data Engineer (Machine Learning/Python)

*According to Decree No.13/2023/ND-CP on protecting personal data (“PDP”), Home Credit Vietnam would apply "Personal Data Processing Agreement" with all candidates to ensure compliance with the decree.By submitting this application to Home Credit Vietnam Finance Company Limited through ITViec, you agree to allow Home Credit to proceed your provided information in accordance with Personal Data Processing Agreement that you have read, fully understood and agreed to the entire content at link career.homecredit.vn/en/article/id/217Job Description:- Analyze data from data producers and transform them into unified form, organize them within the data platforms and/or analytical/production feature store, produce base & derived features in line with Risk Modelling team requirements.- Closely cooperate with IT department on implementing company wide data products following standardized development practices.- Develop, maintain and monitor data pipelines preparing suitable data for analytic & reporting activities.- Set up effective data quality monitoring to detect and remedy discrepancies (collaborate with HQ teams).- Drive utilization of Big Data Hadoop platform to reduce dependence on DWH Analytical Playgrounds.- Support implementation of MLOps solution aiming to significantly transform data preparation, model development, deployment and monitoring: Work closely with our data scientists to understand their requirements and challenges and provide them with tailored solutions to optimize their workflows. Build local expertise for end-to-end development, deployment and monitoring of ML models using Feature Store solution. Deliver data processing mechanisms for real-time data processing and analytical use to utilize the value of new technologies. - Guarantee technical and operational excellence by: Performing code reviews to guarantee high standards and code quality and providing constructive feedback to Junior members. Designing innovative technical solutions to optimize and elevate the functionality of the Data Platform and Data Products. Sharing best practices on relevant technical topics to foster collaborative learning environment.