JOBILY AI SUMMARY
What you'll do
- Build and maintain real-time data pipelines using Apache Flink
- Design scalable streaming architectures for high-throughput, low-latency workloads
- Improve reliability, performance, and monitoring of streaming jobs
- Collaborate with cross-functional teams to turn business needs into technical solutions
- Optimize performance and ensure data quality across the streaming platform
- Contribute to the ongoing evolution and architecture of streaming infrastructure
Key requirements
- Strong hands-on experience with Apache Flink including Java API and SQL API
- Knowledge of watermarks, event time processing, savepoints, and checkpoints
- Experience with streaming systems, distributed computing, and stateful processing
- Familiarity with Kafka and concepts of exactly-once semantics and fault tolerance
- Skills in event-driven architectures, data quality, and data reliability
- Ability to implement production-grade observability in streaming jobs
Benefits
- Monthly allowance for meals, private health & life insurance, right tools provided, access to Udemy for learning, coaching and mentorship, annual discretionary bonus, and opportunities for volunteering and sustainability.
About the job
We are looking for a Data Streaming Engineer with strong experience in Apache Flink, event-driven architectures, distributed systems, and production-grade observability. In this role, you will build and optimize real-time data pipelines, ensure data quality and reliability, and contribute to the…



