4 дня назад
Senior Full Stack Engineer (Python/Kafka)
Вакансия из Hirify Global, списка международных tech-компанийДля мэтча и отклика нужен Plus
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Full Stack Engineer (Python/Kafka): Integrating US inland waterway barge data into a global cargo intelligence platform with an accent on robust ingestion, entity resolution, event-driven streaming, and customer-facing data delivery. Focus on designing Kafka pipelines, connecting data across Elasticsearch, APIs, warehouses, and Vue interfaces, and operating production services with observability and on-call ownership.
Location: Athens, Greece; hybrid
Company
operates a global cargo intelligence platform for commodities and maritime data.
What you will do
- Lead the end-to-end integration of US inland waterway barge data, from external feed ingestion and domain modeling to streaming and UI distribution.
- Design entity-resolution systems that map barge data to vessels, zones, installations, products, and other reference data.
- Build Kafka pipelines with Avro schemas, event-driven contracts, deduplication, and dead-letter queue replay mechanisms using Python and Scala.
- Deliver integrated data through Elasticsearch read models, external APIs, warehouse feeds, and the Terminal.
- Own production quality, observability, SLOs, on-call participation, incident resolution, and post-incident improvements.
- Mentor engineers, document architecture, validate external feeds, and support analyst workflows and legacy-system decomposition.
Requirements
- Approximately 5+ years of experience designing, operating, and maintaining production data-intensive systems.
- Advanced Python and SQL skills, with experience building services in large and evolving codebases.
- Production experience with Kafka streaming, Avro or Schema Registry, deduplication, and replay patterns.
- Experience integrating third-party data feeds, mapping schemas, resolving entities, and monitoring data quality.
- Experience with production observability, technical documentation, incident response, and distributed systems.
Nice to have
- Experience with Scala, Kafka Streams, or functional programming.
- Knowledge of PostGIS, geospatial data, maritime, logistics, or commodities.
- Experience with Elasticsearch, Airflow, Snowflake or lakehouse formats, Kubernetes, or GitOps.
- Working knowledge of TypeScript or Vue for collaboration on frontend features.
Culture & Benefits
- Ownership of services under a “you build it, you run it” engineering model.
- Design authority over complex integration and data-resolution work.
- Mentoring, architectural documentation, and opportunities to improve engineering practices.
- Participation in production on-call rotations.
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