Design, develop, and maintain end-to-end data streaming and CDC pipelines using Kafka and Striim
Implement real-time data integration from source systems through streaming platforms to analytical and operational targets
Collaborate with architects, lead engineers, and business partners to translate requirements into technical solutions
Apply team best practices for Kafka topic design, partitioning, schema management, and Striim pipeline configuration
Build reliable, scalable, fault-tolerant streaming solutions with attention to data consistency and replayability
Perform code and configuration reviews and contribute to standards for testing, documentation, and deployment
Troubleshoot and resolve complex production issues related to streaming pipelines, including latency and data correctness
Participate in proof-of-concepts and evaluation of new streaming or data integration technologies
Continuously improve observability, monitoring, and alerting for streaming pipelines

Bachelor’s degree in Computer Science or equivalent experience
5+ years of professional software or data engineering experience
Strong hands-on experience with Kafka and Striim
Experience integrating with Oracle, PostgreSQL, Amazon Redshift, and Snowflake
Solid understanding of distributed systems, event-driven architectures, and CDC patterns
Strong problem-solving, debugging, and analytical skills
Effective communication skills and ability to collaborate across technical teams
Experience working in Agile delivery environments

Senior Engineer, Data Streaming

Key skills