Java Kafka Producer

Job Responsibilities: (this is more to explain a typical day/week in the work life of the selected person (again no skills to be included here, this is more to appreciate what is the actual job expectation) Design, develop, and maintain data streaming solutions using enterprise Data Streaming Platforms (DSP). Develop and manage Kafka Producers to publish data from Oracle databases to Kafka topics. Write complex SQL queries, stored procedures, and database scripts to extract, transform, and process data. Work extensively with Oracle databases, including database objects, schema design, indexing, and query optimization. Implement real-time data publishing and integratio, application monitoring, incident resolution, and performance tuning. Develop technical documentation covering data flows, database interfaces, Kafka configurations, and integration processes.

Java, Streaming Technology, Database Programming, Apache Kafka, Oracle Database, SQL (Structured Query Language), Scalable System Development, Scripting (Scripting Languages), Data Processing, Stored Procedures, We are seeking an experienced Data Streaming Platform (DSP) / AEA Developer with a minimum of 6 years of experience in data engineering, database development, and real-time data streaming technologies. The ideal candidate will have strong hands-on experience with Oracle databases, SQL, and Apache Kafka, particularly in developing and managing Kafka producers to publish data from enterprise databases to downstream applications and data platforms. The role involves building reliable, scalable, and high-performance data integration and streaming solutions., 1. Apache Kafka / Data Streaming Platform Strong hands-on experience with Apache Kafka and enterprise data streaming platforms. Experience developing and configuring Kafka Producers for publishing data to Kafka topics. Good understanding of Kafka topics, partitions, brokers, offsets, message delivery, and event-driven architecture. Experience implementing reliable, scalable, and real-time data streaming pipelines. 2. Oracle Database / SQL Strong hands-on experience with Oracle databases and relational database concepts.ptimization. 3. Kafka Producer Development / Database Integration Experience integrating Oracle databases with Kafka for real-time data publishing. Ability to develop data extraction and transformation logic and publish database records to Kafka topics. Understanding of data serialization formats such as JSON and Avro. Experience with error handling, data validation, retry mechanisms, and monitoring of data pipelines.