EJADA تعلن عن وظيفة مطور منصة بث (Apache Kafka) في الرياض

Job Purpose:

The Kafka Streaming Platform Developer is responsible for designing, developing, and maintaining real-time streaming data solutions using Apache Kafka and related technologies. The role enables reliable, scalable, and low-latency data integration across enterprise systems by building event-driven architectures, stream-processing applications, and real-time data pipelines that support analytics, operational, and business-critical use cases.

Key Accountabilities:

• Design, develop, and maintain real-time data streaming solutions using Apache Kafka and related ecosystem components.
• Build and support Kafka producers, consumers, and stream-processing applications using industry best practices.
• Develop event-driven integration solutions to facilitate real-time data exchange across enterprise platforms.
• Implement and maintain Kafka Connect integrations with databases, applications, cloud services, and enterprise platforms.
• Design and manage data contracts, schema governance, and serialization standards using Schema Registry, Avro, and Protobuf.
• Develop stream-processing use cases including real-time enrichment, transformation, aggregation, filtering, and analytics.
• Integrate Kafka with data platforms, cloud services, and Change Data Capture (CDC) solutions.
• Collaborate with architects, administrators, developers, and business teams to define streaming requirements and integration strategies.
• Optimize streaming application performance, scalability, fault tolerance, and reliability.
• Perform troubleshooting, root cause analysis, and production support activities for streaming applications.
• Implement CI/CD practices, automated testing, and deployment pipelines for data streaming solutions.
• Participate in code reviews and ensure adherence to development standards and security requirements.
• Maintain technical documentation, integration specifications, and operational procedures.
• Contribute to continuous improvement initiatives related to data engineering, streaming technologies, and platform modernization.

Minimum Qualifications:

• Bachelor's Degree in Computer Science, Software Engineering, Computer Engineering, Information Systems, or a related field.
• Confluent Certified Developer for Apache Kafka or equivalent certification.
• Additional certifications in Data Engineering, Cloud Technologies, Kubernetes, or Software Development.

Minimum Experience:

• +4 years of software development experience.
• Hands-on experience developing real-time streaming solutions using Apache Kafka.
• Experience building and supporting enterprise integration and event-driven architectures.
• Experience working within banking, financial services, fintech, telecommunications, or other highly regulated environments is preferred.
• Experience developing and supporting production-grade distributed systems and data pipelines.

Job-Specific Skills:

• Apache Kafka Development.
• Kafka Connect.
• Kafka Streams.
• ksqlDB.
• Confluent Platform.
• Schema Registry.
• Event-Driven Architecture.
• Real-Time Data Streaming.
• Change Data Capture (CDC).
• Debezium.
• Java, Scala, or Python Development.
• REST API Development and Integration.
• Avro, Protobuf, and JSON Serialization.
• Data Integration and Messaging Patterns.
• Microservices Architecture.
• Apache Cloudera and Enterprise Data Platforms.
• Cloud Data Services (AWS, Azure, or GCP).
• CI/CD Tools and DevOps Practices.
• Git Version Control.
• Docker and Kubernetes.
• Troubleshooting and Performance Tuning.
• Application Monitoring and Root Cause Analysis.
• Data Pipeline Design and Optimization.