Senior Data & Feature Engineer

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

• University degree in Computer Science, Engineering or related field
• 3+ 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, Hive, Spark, Kafka, Airflow, Jupyter)
• Hands-on experience MLOps lifecycle, involving the entire process Features Preparation, Model Development, Model Deployment and Model Monitoring is a plus
• Programming Language: SQL and Python on advanced level
• 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