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Tóm tắt công việc

- 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.

Understanding candidates' expectations of the ideal workplace, we always put the people element at the top of our priorities. ​

Compensation programs and employees' development opportunities for employees are always significantly invested in, bringing you:​

Primary benefits:

• 13th-month Salary and performance- based KPI Bonus ​
• 15+ Annual Leaves​
• Full Social Insurance, 24/7 Accidental Insurance, Annual Medical Check- up​
• Team Building and CSR activities: Year- end Party, New-year Party, Company trip, Charity activities, Blood donation​
• Learning workshops: Udemy E-learning, English courses, Senior management development training programs​

Our culture fosters your career development through: ​

1. Strategy ​

• Thinking Big: We focus on creating meaningful and sustainable opportunities for the company. ​
• Customer Obsession: We try to understand future customer needs, trends, and the impact of digital transformation. ​

2. Implementation ​

• Digital Savviness: We seek to understand the technological aspects of the business to enhance efficiency and customer experience. ​
• Entrepreneurship: We communicate the company's strategy and purpose to others, inspire and lead them effectively. ​
• Risk in mind: We consider risks and their possible effects before making decisions. ​
• Operational Excellence:  We stay focused on the goal, disciplined in tightening tasks to the end. ​

3. Building the organization ​

• People Centricity: We sustain focus on the development of team members through meaningful development plans and learning opportunities. ​
• Integrity: We always stay focused on the goal you need to achieve, refrain from getting into personal conflicts.

Must have:

• University degree in Computer Science, Engineering or related field.
• 3+ years of experience in Data Engineering.
• Hands-on experience with Big Data ecosystem, data integration, transformation, processing and visualization tools (Hadoop, Hive, Spark, Kafka, Airflow, Jupyter).
• Programming Language: SQL and Python on advanced level.
• Good written and oral communication skills.
• Fluent English

Nice to have:

• Hands-on experience MLOps lifecycle, involving the entire process Features Preparation, Model Development, Model Deployment and Model Monitoring is a plus.
• Experience in managing the same data model system over time, evolving the model to meet new business requirements.
• Demonstrated experience designing Dimensional Data Modeling.
• Extensive experience with incremental data processing, late data arrive handling using tools like dbt and orchestrated through workflow management platforms like Airflow.