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-scale 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 structured and reputed company data. This role requires strong experience in reputed company processing architectures, distributed systems, and scalable 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 scalable 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 quality 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-scale distributed systems
- Strong SQL skills and experience designing analytical data models
- Experience building fault-tolerant, highly scalable 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