Senior Data Engineer

KEY RESPONSIBILITIES

1. Risk Technology management:

• Design/ validate/ config integration of innovative technologies used in Risk (UW, AF, Modeling, BigData) processes and platforms FE
• Design, support to build, and manage data processing (data pipeline and ETL) and storage
• Utilization of inhouse Big data architecture (Predictor Engine, HomeML platform, Hadoop store, kafka)
• Quality control, formulation of business requests to 3rd party algorithms/ features/ platforms and push for quality/ timely delivery

2. People management:

• Risk team is highly cooperative, and we expect that from newcomers
• Help develop hard skills in Data Analysts/ Engineers
• This position does not expect leadership skillset

• Team adopts regulatory, Risk Ops, IT Sec, Group policy compliance of used technologies;

• Cooperation on new product/platforms dev (multiproduct limit approach, GMA, WEB, eKYC, etc.)
• Participation and implementation of group wide strategy projects (Smart data, group data/technology providers, …)

JOB REQUIREMENTS

• Bachelor's degree in Computer Science/ Electronics/ Information Systems or Credit Risk/ Project management or relevant majors
• At least 3 years working experience in Data Engineer or IT systems architecture or Software Developer
• Experience with big data storage: Apache Hadoop/ Apache Spark/ mongoDB/ AWS/ PostgreSQL
• Proficiency in English
• Strong at Python & SQL
• Honest, responsible, collaborative and open-minded

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