Data Engineer

About the Role We are looking for a Streaming Data Engineer to design and build scalable real-time data pipelines and streaming data platforms. This role focuses on building high-throughput, low-latency data systems capable of processing large-scale event streams and enabling real-time analytics. Key Responsibilities 1. Design and develop real-time streaming data pipelines 2. Build event ingestion systems using Kafka or similar messaging systems 3. Implement stream processing jobs using Flink / Spark Streaming 4. Develop scalable stream processing jobs 5. Build and optimize real-time analytical databases 6. Build and maintain data pipelines supporting both batch and streaming workloads 7. Support real-time dashboards and data APIs 8. Implement monitoring and alerting for streaming pipelines 9. Work closely with Data Scientists, Data Analysts, Backend Engineers, and Platform Engineers What We’re Looking For 1. 3–6 years of experience in Data Engineering / Backend Engineering 2. Experience with real-time analytical databases (Starrocks / Clickhouse / Doris) 3. Experience with streaming data technologies (building distributed data systems) 4. Proficiency in Python / Java / Scala / SQL 5. Apache Kafka / Apache Flink / Spark Streaming What We Offer 1. A collaborative and inclusive work environment. 2. Opportunities for professional growth and development. 3. The chance to play a pivotal role in shaping the future of our organization.