CÔNG TY CỔ PHẦN SMARTOSC

Data Engineer (Airline Domain)

Location: Flexible based on candidate profile and project requirements.

1. KEY RESPONSIBILITIES AND RESPONSIBILITIES

Data Platform & Engineering

·        Design, develop, and maintain scalable ETL/ELT pipelines.

·        Build and optimize batch and real-time data ingestion frameworks.

·        Develop enterprise data lake and data warehouse solutions.

·        Ensure high data quality, governance, reliability, and observability.

·        Implement data modeling for analytics, reporting, and AI/ML use cases.

·        Optimize performance and cost efficiency of cloud-based data platforms.

Airline Domain Integration

·        Integrate data from airline systems such as reservation and booking systems, payment systems, departure control systems, CRM and loyalty platforms, revenue management systems, flight operations systems, and ancillary services.

·        Handle high-volume transactional and operational datasets.

·        Support near real-time operational reporting and monitoring.

AI & Analytics Enablement

·        Prepare clean and reliable datasets for AI/ML initiatives.

·        Collaborate with Data Scientists and AI Engineers for feature engineering.

·        Enable customer analytics, personalization, demand forecasting, and operational optimization.

Governance & Security

·        Implement data governance, lineage, and access controls.

·        Ensure compliance with security and privacy standards.

·        Monitor and troubleshoot data quality and pipeline issues.

Collaboration

·        Work closely with Product Owners, Architects, DevOps, QA, and business teams.

·        Participate in solution design, estimation, and technical discussions.

·        Provide technical guidance and mentoring to junior engineers.