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JOB DESCRIPTION
Collaboration in Virtual Domain-aligned Team:
Work closely with the Product Owner, Data Scientists/Analysts and other colleagues in agile way towards shared product goals
Ensure and promote proper data model design and feasibility of data products including AI/ML model training/serving
Continuous Improvement, Technical Excellence and Accountability:
Follow and enrich data product building blocks and code templates, review and approve changes from contributors
Follow, select and apply the latest technologies and best practices in data integration and AI/ML aligned with context of our company
Automated Testing, Code Quality and Documentation:
Implement and maintain quality standards for data products (well-documented, reusable, scalable, performing, DRY)
Ensure regular testing and validation are implemented as vital part of automated CI/CD
Monitor and improve the performance and efficiency of data flows
KEY REQUIREMENTS
Strong experience
in Data Engineer, skills in
Spark, Kafka, Python, Dbt, Iceberg, Airflow OR Cloud Technologies (AWS/GCP/Azure)
Demonstrated experience designing dimensional data model, effective algorithms to process data, software engineering principles
Proficiency in SQL and Python
Good English \& communication
Good stakeholder management skills
Nice to have:
Finance/Banking/Ecommerce domain knowledge, especially in Risk, Antifraud, CRM models
Microservice architecture with Docker and Kubernetes development experience
COMPENSATION \& BENEFITS
13th salary Fixed and KPI Bonus
Premium Health Care
24/7 Accidental Insurance
100% Social Insurance
Meal + Phone Allowance
Yearly Medical Checkup
15/18 Annual Leaves
Professional and Transparent Working Environment
Apply Latest Financial Technology in the World