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Big Data Engineer - Streaming at Weekday AI. This role is for one of the Weekday's clients. Salary range: Rs 1900000 - Rs 2800000 (ie INR 19-28 LPA). Min Experience: 4 years. Location: Remote (India). JobType: full-time. We are looking for a highly skilled . Big Data Engineer – Streaming. to design, build, and maintain large-scale real-time data processing systems. This role is focused exclusively on . streaming data pipelines. and requires deep expertise in Java-based backend development along with hands-on experience in Apache Spark Streaming or Hadoop streaming ecosystems. The ideal candidate thrives in high-performance environments and has a strong passion for building scalable, low-latency data platforms.. Key Responsibilities. Design, develop, and optimize real-time streaming data pipelines for large-scale, distributed systems. . Build and maintain robust data ingestion and real-time processing frameworks using Apache Spark Streaming and Hadoop-based streaming technologies. . Develop high-performance, production-grade solutions using Java as the core programming language. . Ensure streaming systems meet requirements for scalability, fault tolerance, reliability, and low latency. . Integrate streaming pipelines with downstream applications, platforms, and analytics systems. . Monitor, troubleshoot, and optimize performance bottlenecks across streaming data workflows. . Collaborate closely with platform, infrastructure, and application teams to deliver end-to-end streaming solutions. . Support CI/CD practices for continuous improvement and reliable deployment of data pipelines. . Technical Skills. Strong expertise in real-time data processing and streaming architectures. . Hands-on experience with Apache Spark Streaming and/or Hadoop streaming ecosystems (no batch processing). . Advanced proficiency in Java for large-scale, distributed systems development. . Experience with CI/CD pipelines and production-grade deployment practices. . Familiarity with cloud platforms such as AWS, Microsoft Azure, or Google Cloud Platform. . Solid understanding of system performance tuning, fault tolerance, and distributed computing concepts. . Skills. Big Data Engineering. Real-Time Streaming. Apache Spark Streaming. Hadoop Streaming. Java. Cloud Platforms (AWS / Azure / GCP). CI/CD. Company Location: India.