Experience-5-12 Years
Location:-Bangalore (Hybrid)

We are looking for an

Azure Data Streaming Engineer

who lives and breathes high-velocity data. If you are a Data Engineer who thinks like a Software Engineer, prioritising low latency, event-driven architecture, and clean code over simple batch ETL, this role is for you.

Responsibilities:
Architect Real-Time Pipelines: Design and implement robust, scalable, and low-latency data streaming architectures.
Build and Optimise: Develop high-performance data processing pipelines using Python, PySpark, and Databricks.
Event-Driven Logic: Build complex event-driven workflows (e. g., real-time notifications, IoT telemetry processing, live logistics tracking).
Bridge Backend and Data: Collaborate with software engineers to integrate data pipelines directly into application backends.
Monitor and Scale: Ensure system reliability, uptime, and performance in a highconcurrency Azure environment.