JOB DESCRIPTION
The Data & Feature Engineer Senior's main objective is to drive data availability for business analytic & reporting purposes. Key areas of responsibility:
- 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
KEY REQUIREMENTS
- Proven track record with Data & Feature Engineering activities (3+ years)
- Hands-on experience with Big Data ecosystem, data integration, transformation, processing and visualization tools (Hadoop, Hive, Spark, Kafka, Airflow, Jupyter)
- Experience with containerized applications, microservices (Docker, Kubernetes), CI/CD (gitlab-ci) and serverless / real-time functions
- Hands-on experience MLOps lifecycle, involving the entire process Features Preparation, Model Development, Model Deployment and Model Monitoring
- Programming Language: SQL and Python on advanced level
- University degree in Computer Science, Engineering or related field
- Good written and oral communication skills
- Good English
BENEFITS
- 13th Salary Fixed and KPI Bonus
- Premium Health Care for personal
- 24/7 Accidental Insurance
- 100% Social Insurance
- Meal + Phone Allowance
- Yearly Medical Checkup
- 18 Annual Leaves
- Professional and Transparent Working Environment
- Apply Latest Financial Technology in the World
If you are referred for this position by our Employee/Recruitment Collaborator, please apply via this LINK.
If you are an internal candidate, please apply via this LINK.
Otherwise, please click the Apply button as below for application
Information Kỹ Sư Dữ Liệu & Tính Năng Cao Cấp
The Data & Feature Engineer Senior's main objective is to drive data availability for business analytic & reporting purposes. Key areas of responsibility:
- 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