Our client is a global technology company headquartered in Santa Clara, California. it focuses on helping organisations harness the power of data to drive digital transformation, enhance operational efficiency, and achieve sustainability. over 100 years of experience in operational technology (OT) and more than 60 years in IT to unlock the power of data from your business, your people and your machines. We help enterprises store, enrich, activate and monetise their data to improve their customers experiences, develop new revenue streams and lower their business costs. Over 80% of the Fortune 100 trust our client for data solutions.
The company's consolidated revenues for fiscal 2024 (ended March 31, 2024). approximately $57.5 billion USD., and the company has approximately 296,000 employees worldwide. It delivers digital solutions utilising Lumada in five sectors, including Mobility, Smart Life, Industry, Energy and IT, to increase our customers social, environmental and economic value.
- Job Title: Real-Time Streaming (RTS) Data Engineer
- Location: Bangalore & Chennai
- Experience: 5 To 9 Years
- Job Type: Permanent
- Notice Period: Immediate to 30 Days
- Mandatory Skills: Java developers with streaming experience
JD:
- Real-Time Streaming (RTS) Data Engineer
- Platform Overview
- RTS platform manages real-time data processing across the bank.
- Handles:
- Real-time transactions
- Customer updates
- Streaming data pipelines
- Real-time caching and processing
- Required Skills
- Strong experience in:
- Java (preferred) / Scala / Python
- Apache Flink
- Kafka ecosystem
- Event streaming architecture
- Knowledge of:
- JVM tuning & debugging
- Docker & Kubernetes
- Redis
- SQL / NoSQL databases
- Shell scripting
- CI/CD tools (GitHub, Jenkins)
- Core Technology Stack
- Kafka Streaming platform
- Apache Flink Data processing framework
- Java Primary programming language
- Redis Caching layer
- Docker & Kubernetes (OpenShift) Containerization & deployment
- Key Responsibilities
- Develop and maintain real-time data processing applications
- Build and deploy applications using CI/CD pipelines
- Implement automation and monitoring
- Work with Kafka producers/consumers
- Handle event-driven architecture
- Integrate with databases and caching systems
- Candidates rejected
- Have experience only in batch processing (Hadoop, CDP, Spark batch).
- Focus primarily on SQL/database work without development exposure.
- Lack of streaming technologies like Flink/Kafka.
