Data Engineer (Real-Time Streaming)

Job description

ValueLabs is looking for a highly skilled Data Engineer with expertise in real-time data processing, event-driven architectures, and streaming platforms to build and manage scalable, low-latency data solutions for mission-critical banking and analytics workloads. Key Responsibilities • Design, develop, and maintain real-time streaming data pipelines. • Build scalable event-driven architectures using Kafka and modern data platforms. • Collaborate with architects, platform teams, and business stakeholders to deliver high-performance data solutions. • Ensure system reliability, security, compliance, and operational excellence. • Implement monitoring, resiliency, and performance optimization for distributed services. Required Skills ✅ Java (Mandatory) ✅ Apache Kafka ✅ Apache Flink / Spark Streaming / Beam ✅ Event-Driven Architecture & Real-Time Data Processing ✅ Docker & Kubernetes ✅ PySpark ✅ SQL & NoSQL Databases ✅ Linux & Shell Scripting ✅ CI/CD Tools (GitHub, Jenkins) ✅ Design Patterns & Distributed Systems Preferred Skills ⭐ Redis Caching ⭐ Banking, Financial Services, or FinTech Experience ⭐ Security Engineering & Compliance Controls ⭐ Data Governance, Encryption & Data Privacy Standards ⭐ Networking Fundamentals (DNS, Proxy, ACL, Policies) What We're Looking For • Strong hands-on experience in real-time streaming and distributed systems. • Expertise in designing scalable and resilient data platforms. • Strong problem-solving, communication, and stakeholder management skills. • Experience working in Agile environments. • Self-driven professional with the ability to work independently and collaboratively.