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Real-Time Data Streaming Engineer

2 weeks ago

Chennai, Tamil Nadu, India TM Input Full time

TM Input is seeking a skilled Real-Time Data Streaming Engineer to join our team. As a key member of our engineering group, you will be responsible for designing and developing real-time data streaming applications using Confluent Kafka.

Key Responsibilities:
  • Design and implement robust Kafka-based data pipelines, including topic creation, partitioning strategies, and consumer groups to efficiently handle real-time data streams.
  • Built microservices and event-driven applications utilizing Confluent Kafka producers and consumers to process high-volume data in real-time.
  • Configure, deploy, and monitor Kafka clusters to maintain high availability, scalability, and performance, including optimization of brokers, topics, and partitions.
  • Integrate Confluent Kafka with existing systems and applications, ensuring smooth data flow between different components.
  • Analyze and troubleshoot Kafka performance bottlenecks, implementing optimizations to ensure efficient data processing and low latency.
Required Skills and Qualifications:
  • Deep understanding of Apache Kafka, including extensive knowledge of Kafka architecture, concepts like producers, consumers, topics, partitions, and Kafka Streams API.
  • Confluent Platform Expertise, familiarity with Confluent features including Confluent Control Center, Schema Registry, and KSQL.
  • Proficiency in Java, Scala, or Python for developing Kafka applications.
  • Distributed Systems Knowledge, understanding of distributed system principles, fault tolerance, and data replication.
  • Familiarity with cloud-based Kafka deployments on AWS, Azure, or GCP.