Project Role : Data Engineer Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems.

Must have skills : Apache Kafka Good to have skills : NA Minimum 2 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education Job Title Kafka Developer (Apache Kafka / Streaming Engineer) Key Responsibilities Design, develop, and maintain scalable Kafka-based data pipelines and real-time streaming applications Build and manage Kafka producers, consumers, topics, partitions, and consumer groups Monitor, tune, and optimize Kafka cluster performance, throughput, and latency Troubleshoot and resolve issues related to data processing, message delivery, and system integrations Collaborate with application teams, data engineers, and DevOps teams to deliver robust integration solutions Develop and maintain Kafka Streams, KSQL, and Kafka Connect (source/sink connectors) implementations Ensure high availability, reliability, fault tolerance, and data consistency across Kafka platforms Implement security configurations, schema management (Avro/Protobuf),



and data governance standards Create and maintain technical documentation for Kafka configurations, workflows, and architecture Provide production support, defect analysis (RCA), and performance tuning for Kafka-related applications Perform root cause analysis (RCA) for Kafka-related defects and integration failures Manage topic creation, schema evolution, and versioning strategies Work on event-driven architecture and microservices integration Qualifications Bachelor s degree in computer science / engineering / IT or related field 3–5 years of experience in Kafka or real-time data streaming roles Preferred Experience Experience in event-driven architecture and microservices design Exposure to CI/CD pipelines and DevOps tools (Docker, Kubernetes) Experience with monitoring tools like Prometheus, Grafana Experience in high-volume transaction systems or telecom/finance domains Key Deliverables Reliable and scalable Kafka pipelines Low-latency data streaming solutions Effective troubleshooting and defect resolution Documentation and knowledge sharing Work Environment Agile development setup with cross-functional teams High dependency on integration systems (APIGEE, BWCE, microservices, etc.)

📌 Data Engineer (Bengaluru)
🏢 Accenture in India
📍 Bengaluru