Data Engineer

B.Sc. in Computer Science, Data Engineering, or a related field. 3+ years hands-on with large-scale data infrastructure. Strong Python (including Pandas). Deep SQL and NoSQL knowledge, with real performance-optimization experience. Proven experience with real-time/low-latency systems, and the data architecture and modeling instincts that make them fast. Comfort with big-data volumes, pipelines, and data lakes. Experience with streaming / event-driven design (e.g., Kafka). Spark / PySpark for large-scale processing, or a strong adjacent big-data background. Strong problem-solving skills and a proactive, independent mindset.