Senior IT Data Engineer

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

Must have:

• Strong experience in Data Engineer/Analytics Engineer, skills in Spark, Kafka, Python, Dbt, Iceberg, Airflow
• 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
• 18 Annual Leaves
• Professional and Transparent Working Environment
• Apply Latest Financial Technology in the World