Full Stack Engineer

📋 Description

• Lead end-to-end integration architecture: Drive the full engineering lifecycle—from external feed
• Design robust ingestion & entity-resolution systems: Map incoming barge data onto Kpler
• Build scalable Kafka streaming pipelines: Construct event-driven contracts, schemas (Avro)
• Deliver data across customer surfaces: Surface integrated barge data cleanly across Elasticsearch
• Champion production quality & observability: Maintain full operational ownership of your
• Ensure data integrity & analyst alignment: Validate external feeds and integrate

🎯 Requirements

• Production data engineering experience: ~5+ years of experience designing, operating, and
• Advanced Python & SQL expertise: Proven ability to build clean, well-bounded services within
• Event-driven streaming proficiency: Hands-on experience with Kafka streaming in production
• Third-party integration & entity resolution: Demonstrated background integrating external data
• Operational mindset: Direct experience managing production observability, writing documentation
• Functional programming & Scala: Experience or familiarity with Scala (Kafka Streams) or a track