
Chief Data Engineer
4 days ago
Real-Time Data Engineering
This is a challenging and rewarding role that involves designing and implementing scalable, real-time data processing systems in Kafka. As part of our team, you will be responsible for building and maintaining complex data pipelines, ensuring high availability and scalability.
The ideal candidate will have extensive experience with Apache Kafka and real-time architecture, as well as strong knowledge of Kafka Streams, Kafka Connect, Spark Streaming, Schema Registry, Flink and Beam.
- Main Responsibilities:
- Design and implement scalable, real-time data processing systems in Kafka.
- Configure, deploy, and maintain Kafka clusters to ensure high availability and scalability.
- Integrate Kafka with other data processing tools and platforms.
- Collaborate with cross-functional teams to understand data requirements and design solutions that meet business needs.
- Implement security measures to protect Kafka clusters and data streams.
- Monitor Kafka performance and troubleshoot issues to ensure optimal performance.
- Provide technical guidance and support to development operations teams.
Requirements:
- Extensive experience with Apache Kafka and real-time architecture.
- Strong knowledge of Kafka Streams, Kafka Connect, Spark Streaming, Schema Registry, Flink and Beam.
- Experience with cloud platforms such as GCP Pub/Sub.
- Excellent problem-solving skills.
Benefits:
- Paid training and certifications.
- Opportunities for professional growth and development.
- A dynamic and collaborative work environment.
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