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.
- Robust problem-solving, communication, and stakeholder management skills.
- Experience working in Agile environments.
- Self-driven professional with the ability to work independently and collaboratively.

📌 Data Engineer (Real-Time Streaming) (Chennai)
🏢 ValueLabs
📍 Chennai