iAgami Technologies
2 days ago
Description :
- Design, build, and maintain scalable backend microservices & REST/gRPC APIs
- Architect event-driven & real-time data solutions using Kafka, Flink, Spark, Pulsar, etc.
- Build and optimize streaming & batch data pipelines for reliable data delivery
- Integrate and optimize SQL & NoSQL databases for high performance
- Deploy applications with Docker & Kubernetes in cloud-native environments
- Contribute to CI/CD pipelines, Infrastructure as Code, and DevOps practices
- Ensure secure coding, monitoring, and performance optimization
- Mentor team members and participate in code/design reviews
Required Skills & Experience :
years of hands-on software/data engineering experience
- Strong expertise in Python (FastAPI/Django) or Java/Scala frameworks
- Experience with distributed streaming platforms (Kafka, Flink, Spark, Pulsar, Pub/Sub)
- Deep understanding of event-driven architectures & streaming semantics
- Solid experience with Docker, Kubernetes, CI/CD, and cloud-native practices
- Strong knowledge of SQL/NoSQL databases
Preferred Skills :
- Real-time analytics, ML pipelines, or time-series DBs
- Familiarity with cloud-based streaming services (AWS Kinesis, Google Pub/Sub, Azure Event Hubs)
- Experience with Infrastructure as Code & DevOps tooling
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