Overview

We are looking for an experienced Microsoft Fabric Real-Time Intelligence (RTI) Engineer / Event Hubs SME with strong expertise in real-time data streaming, Microsoft Fabric RTI, OneLake, Eventhouse, and Azure Event Hubs. The ideal candidate should have hands-on experience designing and implementing real-time data ingestion, processing, and analytics solutions using Microsoft Fabric. The candidate should also be capable of leading technical design discussions and addressing non-functional requirements such as latency, throughput, scalability, and performance.

Key Responsibilities

• Design, develop, and implement real-time data solutions using Microsoft Fabric Real-Time Intelligence (RTI).
• Build and maintain real-time data ingestion and streaming pipelines using Azure Event Hubs and Microsoft Fabric.
• Work with OneLake and Eventhouse for real-time data storage, processing, and querying.
• Develop scalable data-processing solutions using PySpark or Java.
• Design and implement data ingestion, transformation, processing, and querying workflows.
• Optimize real-time data pipelines for latency, throughput, scalability, and reliability.
• Lead technical design discussions and provide solution recommendations.
• Define and address non-functional requirements, including performance, availability, scalability, and operational reliability.
• Collaborate with data engineers, architects, application teams, and business stakeholders.
• Troubleshoot and resolve issues related to real-time streaming, data ingestion, and Eventhouse queries.
• Perform design reviews and ensure adherence to engineering standards and best practices.

Required Skills

• 5–8 years of relevant experience in Data Engineering, Data Streaming, or Real-Time Analytics.
• Strong hands-on experience with Microsoft Fabric Real-Time Intelligence (RTI).
• Strong expertise in OneLake and Eventhouse.
• Experience working with Azure Event Hubs and real-time event-streaming architectures.
• Strong knowledge of real-time data ingestion and streaming.
• Hands-on experience with PySpark or Java.
• Experience ingesting, processing, storing, and querying data using Eventhouse.
• Experience leading technical design and architecture discussions.
• Strong understanding of non-functional requirements, including:
• Latency
• Throughput
• Scalability
• Performance
• Availability
• Reliability
• Strong troubleshooting and problem-solving skills.
• Good communication and stakeholder-management skills.

Preferred Skills

• Experience with Azure Data Engineering services.
• Knowledge of event-driven and streaming architectures.
• Experience with KQL and real-time analytics.
• Exposure to cloud-based data platforms and distributed data-processing systems.
• Experience working in Agile delivery environments.