ML/Data Engineer
RemoteOct 14
About the job
Design and build production data infrastructure for high-volume athlete performance and sensor data, focusing on real-time ingestion, storage architecture, and support for ML/AI systems
Requirements
- 5+ years of full-time professional software or data engineering experience
- Proven experience designing, building, and operating production data infrastructure at scale
- Strong experience working with time-series data or time-series databases (InfluxDB, TimescaleDB, ClickHouse, etc.)
- Significant experience with real-time or streaming data ingestion (Kafka, Kinesis, Flink, etc.)
- Experience designing graph data models
- Strong Python and SQL skills
- Experience working with wearable sensors, IoT data, or sports technology
Source: Telegram channel Вакансии IT . Рекрутер Шатило Вероника
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