We’re looking for a Data Engineer who:

— works with large-scale data (millions+ records)
— has strong Java (recent, hands-on)
— understands Kafka / streaming systems
— has experience with high-load systems or real-time data
— knows multithreading / concurrency
— is comfortable with system design and architecture decisions

What you’ll do:

— build data pipelines (batch / streaming)
— process high-volume data and real-time streams
— handle data quality (validation, deduplication)
— design architecture (Kafka, Redis, storage, etc.)
— optimize performance under load

Nice to have:

— Redis, Elasticsearch
— Cloud (AWS / GCP / Azure)

AI (secondary):

— uses tools like Copilot / Cursor (or willing to learn)
— can review AI-generated code

Important

This is not a typical ETL role.
We’re looking for engineers who understand scale, performance, and system design.