Title : Real-Time Streaming (RTS) Data Engineer

Location: Bangalore & Chennai

Duration: Full Time

Experience: 5+ Years

Preferred Candidate Profile

Strong Java developers with streaming experience

Candidates with Spark Streaming / Apache Beam may also be considered.

Clarifications

Kafka role is development-focused (producer/consumer), not Kafka administration.

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

Data Engineer