Job Description
Responsibilities:
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Built real-time data ingestion pipelines using Apache Kafka for ingesting user behavior and transactional events.
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Designed Flink-based streaming applications for complex event processing (CEP), sessionization, and near real-time analytics.
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Integrated Flink with Kafka, object storage (S3), and NoSQL stores for enriched data processing.
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Tuned Kafka and Flink for optimal throughput and minimal latency.
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Worked in agile environments, collaborating with DevOps and data science teams for production-ready deployment.
Requirements:
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Core Tech: Apache Kafka, Apache Flink, Java/Scala, Docker/Kubernetes
- Bachelor’s degree in Computer Science, Software Engineering, Information Systems, or related field
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Experience: 510+ years overall, with at least 23 years focused on Flink and Kafka
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Industry Fit: Experience in high-volume transactional systems or data-driven products
Soft Skills: Proactive, analytical, strong communicator, agile mindset
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