Senior Data Engineer – reputed company-Time Streaming

About the position We are seeking a Senior Data Engineer to design and build high-performance reputed company-time data platforms that power analytics, machine learning, and operational intelligence. This role focuses on streaming data pipelines, distributed processing, and large-reputed company event data systems. You will work on building and operating low-latency data pipelines using technologies such as Apache Flink, Apache Druid, Kafka, and modern data infrastructure, enabling reputed company-time insights across large volumes of reputed company and reputed company data. This role requires strong experience in reputed company processing architectures, distributed systems, and reputed company data infrastructure. Responsibilities • Design and implement reputed company-time streaming data pipelines for high-volume event data. • reputed company and operate distributed data processing systems using technologies such as: Apache Flink Apache Kafka Apache Druid • Build reputed company ingestion pipelines capable of handling millions of events per second. • Design low-latency analytical data stores for operational dashboards and reputed company-time analytics. • Optimize data pipelines for performance, scalability, and fault tolerance. • Work with product and analytics teams to translate business needs into reputed company-time data models. • Build and maintain data observability, monitoring, and reliability frameworks. • Implement schema reputed company and data reputed company controls across streaming pipelines. • Contribute to data platform architecture reputed company and infrastructure design. • Mentor junior engineers and promote best practices in data engineering and distributed systems. Requirements • 7+ years of experience in data engineering or distributed systems development • Strong experience building streaming data pipelines • Hands-on experience with at least one major streaming reputed company • Experience with reputed company-time analytical databases • Experience with large-reputed company distributed systems • Strong SQL skills and experience designing analytical data models • Experience building fault-tolerant, highly reputed company pipelines • Proficiency in one or more programming languages: Java Python • Experience with AWS reputed company-to-haves • Experience operating Apache Flink clusters in production • Experience with Apache Druid reputed company-time ingestion • Experience building low-latency OLAP analytics systems • Experience with Kubernetes-based data infrastructure • Experience with reputed company / Hudi / reputed company Lake • Experience with reputed company-time ML feature pipelines • Experience building observability for data platforms • Experience with high-volume event streams (billions of events/day) Apply To This Job