Job Description
To apply for this job, you need to complete both steps below:
STEP 1:
Please click the link to submit your application directly to the company:
Data & Feature Engineer | Home Credit Vietnam
Your application will only be received by Recruiter if submitted via above link.
STEP 2:
Kindly scroll to the bottom of this page and complete the short VinUni Tracking Form.
Filling out this form alone does not count as applying. Kindly remind this form is not part of the company’s application process. It only helps Careers, Alumni, Industry and Development (CAID) Department discover more opportunities and follow up in case of system issues.
JOB DESCRIPTION
The Data & Feature Engineer's main objective is to drive data availability for business analytic & reporting purposes.
Key areas of responsibility:
- 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
- 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
- University degree in Computer Science, Engineering or related field
- 2+ years of experience in Data Engineering, nice to have experience in Feature Engineering
- Hands-on experience with Big Data ecosystem, data integration, transformation, processing and visualization tools (Hadoop/Spark/Kafka/Airflow)
- Programming Language: SQL and Python
- Good written and oral communication skills
- Fluent English
COMPENSATION & BENEFITS
- 13th Salary Fixed and KPI Bonus
- Premium Health Care
- 24/7 Accidental Insurance
- 100% Social Insurance
- Meal + Phone Allowance
- Yearly Medical Checkup
- 15 Annual Leaves
- Professional and Transparent Working Environment
- Apply Latest Financial Technology in the World

