Data Engineer
Core
Design, develop, and maintain data warehousing and analytics platforms for smart transportation solutions using microservices architectures.
Role type
Data Engineer (Data Warehousing & Analytics)
Builds
Data platforms, semantic models, and dashboards for Intelligent Transportation Systems (ITS) clients.
Domain
Transportation / Intelligent Transportation Systems (ITS)
Deliverable
production ML models | product features | dashboards & analysis
Required skills
ETL/ELT development, SQL, data warehouse modeling, Power BI, data pipeline orchestration, query optimization
Preferred skills
Data lake/lakehouse architecture, messaging tools (RabbitMQ, Kafka), cloud environments (Azure, AWS, GCP), Python, data governance, multi-tenant solutions
Technologies
Talend, Prefect, Power BI, DAX, SQL, RabbitMQ, Kafka, Azure, AWS, GCP
Responsibilities
Design and develop ETL/ELT processes; integrate data from distributed microservices; model data warehouses; ensure data quality and traceability; orchestrate and monitor data pipelines; create reusable dashboards and reports; optimize data loading and utilization processes.
Seniority
Mid-level to Senior, hands-on IC