Big Data Engineer
10 hours ago
This role is for one of the Weekday's clients
Salary range: Rs Rs ie INR 6-19 LPA)
Min Experience: 4 years
JobType: full-time
We are looking for an experienced Big Data Engineer with strong expertise in real-time streaming systems and large-scale data processing. This role focuses on building high-performance, low-latency streaming pipelines using Java and modern big data technologies. You will work on complex, scalable systems in a high-velocity engineering environment.
- Design, build, and optimize large-scale real-time streaming data pipelines.
- Develop robust data ingestion and processing frameworks using Apache Spark Streaming or Hadoop streaming tools.
- Use Java to implement performant, production-ready distributed systems.
- Ensure low latency, high throughput, scalability, and fault tolerance across streaming workflows.
- Collaborate with product, data, and engineering teams to integrate streaming pipelines into core platforms.
- Diagnose, troubleshoot, and improve streaming system performance and reliability.
- 4+ years of experience as a Big Data Engineer.
- Strong command of real-time streaming technologies (Kafka, Spark Streaming, Flink, or similar).
- Advanced proficiency in Java for core development.
- Hands-on experience with Hadoop or Apache Spark (streaming use cases only).
- Solid understanding of distributed systems and scalable architecture patterns.
- Experience in monitoring, tuning, and debugging streaming pipelines.
- Background working in high-scale or big-tech engineering environments.
- Experience with cloud ecosystems (AWS, GCP, or Azure).
- Knowledge of microservices, Docker, Kubernetes, or container orchestration.
- Familiarity with CI/CD pipelines and DevOps workflows.
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