Design, build, and operate real-time streaming data pipelines
Implement and maintain data pipelines that handle moderate to high data skew
Work with Apache Iceberg tables for streaming workloads
Collaborate with platform and analytics teams to model data for different consumption patterns
Optimize streaming jobs and storage layouts to improve query performance
Assist in diagnosing and resolving performance bottlenecks
Contribute code, reviews, and documentation to shared data platform components

5+ years of professional software engineering and/or data engineering experience
Kafka experience is a must
Hands-on experience building and operating production streaming pipelines with low-latency requirements
Experience integrating streaming systems with MPP analytical databases
Solid understanding of data skew challenges and mitigation techniques
Working knowledge of Apache Iceberg for streaming or near-real-time workloads
Proficiency in Java and/or Python
Strong SQL skills and understanding of distributed query execution and performance tuning
Familiarity with data distribution strategies

Senior Software Engineer

Key skills