Kafka Engineer

Tata Consultancy Services
TX, United States
Full-time

Experience -10 years

Job type -full time

Location -remote

Technical / Functional Skills

  • Strong fundamentals in distributed systems design and operations, microservice architecture, integration patterns
  • Deep understanding of different messaging paradigms (pub / sub, queuing), as well as delivery models, quality-of-service, and fault-tolerance architectures
  • Established track record with Kafka technology, with hands-on production experience and a deep understanding of the Kafka architecture and internals of how it works, along with interplay of architectural components : brokers, Zookeeper, producers / consumers, Kafka Connect, Kafka Streams
  • Practical experience with how to scale Kafka, KStreams, and Connector infrastructures.
  • Experience with Kafka Streams / KSQL architecture and associated clustering model.
  • Hands-on experience as a developer who has used the Kafka API to build producer and consumer applications, along with expertise in implementing KStreams components.
  • Have developed KStreams pipelines, as well as deployed KStreams clusters.
  • Experience with developing KSQL queries and best practices of using KSQL vs KStreams
  • Strong knowledge of the Kafka Connect framework, with experience using several connector types : HTTP REST proxy, JMS, File, SFTP, JDBC.
  • Experience using Source / sink connectors asRDBMS, NoSQL data stores.
  • Hands-on experience in designing, writing, and operationalizing new Kafka Connectors using the framework
  • Strong familiarity of data formats such as XML, JSON, Avro, CSV, etc. along with serialization / deserialization options
  • Familiarity of the Schema Registry
  • Experience with monitoring Kafka infrastructure along with related components (Connectors, KStreams, and other producer / consumer apps)
  • Familiarity with Confluent Control CenterFirm understanding of SDLC (systems development lifecycle)
  • Excellent written and verbal communication skills.
  • Excellent analytical and troubleshooting abilities
  • Prior experience in banking / financial services industry and firm understanding of the banking data landscape.
  • 2 hours ago
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