Design, develop, and maintain real-time data pipelines using Apache Flink and Apache Kafka.
Develop production-grade streaming applications for high-volume and low-latency workloads.
Implement data transformation, filtering, enrichment, aggregation, and event processing.
Build reliable event-processing pipelines with appropriate error handling and recovery mechanisms.
Consume and publish events across Kafka topics.
Implement appropriate partitioning, consumer groups, offsets, and delivery mechanisms.
Troubleshoot streaming pipeline failures and performance issues.
Preferred candidate profile
Apache Flink • Develop and maintain Apache Flink jobs for real-time data processing.
Implement: o Stream transformations
📌 Data Engineer Lead Bengaluru (India)
🏢 IndiHire Consultants
📍 India
Reply to this offer
Impress this employer describing Your skills and abilities, fill out the form below and leave Your personal touch in the presentation letter.