JOB 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
KEY REQUIREMENTS
- Proven track record with Data Engineering activities at least 1 year
- Experience with Data Engineer tasks: build up data pipeline, modeling, ETL jobs, data quality checks
- Solid knowledge in Big Data Hadoop ecosystem, data integration, transformation, processing and visualization tools (Hadoop, Hive, Spark, Airflow, Jupyter)
- Programming Language: SQL and Python on intermediate 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
- 15 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