Data Engineer – Passenger Flow & Platform Services 260901-JAS-001

Role Objective: Build, scale, and maintain the core data platform, backend applications, and REST APIs for real-time passenger timeslot services and operational capacity balancing. Act as a bridge between product owners, data scientists, and engineering teams to deliver reliable, production-grade solutions.

Backend & API Engineering: Develop and maintain robust Python backend services and REST APIs for internal and external consumption.

Data Pipelines & Integrations: Construct reliable data pipelines and integrations to support real-time operational workflows and capacity products.

Cloud & Operations: Deploy, manage, and monitor applications in Azure and Kubernetes/OpenShift production environments.

Reliability & Incident Management: Drive high availability, platform resilience, continuous improvements, and rapid troubleshooting/incident response.

Data Science Productionization: Operationalize and scale machine learning models and data science products into production.

Engineerin…

Mandatory Technical Experience:

Backend & APIs: Strong professional experience with Python backend engineering and REST API design.

Cloud & Containers: Hands-on deployment and management in Microsoft Azure (including Azure Database for PostgreSQL) and Kubernetes/OpenShift.

Databases & SQL: Advanced proficiency in PostgreSQL and complex SQL querying.

DevOps & Delivery: Production monitoring, troubleshooting, CI/CD pipeline setup, and Git workflows.

Integration: Proven record of delivering data-intensive platforms and external-facing APIs.

Languages: Professional fluency in English (team o…