Microsoft Fabric Engineer (Real-Time Intelligence & Time Series Data)

Position Name: Microsoft Fabric Engineer (Real-Time Intelligence & Time Series Data)

Role Brief: The Microsoft Fabric Engineer is responsible for implementing Real-Time Intelligence solutions, focusing on time-series data processing. This role requires expertise in Azure Data Explorer (ADX) and involves architecting, designing, and optimizing real-time data pipelines within Microsoft Fabric Real-Time Analytics (RTA). The engineer will work on data ingestion, processing, and visualization to enable real-time insights and analytics.

Primary Skills:

• Expertise in Microsoft Fabric Real-Time Analytics (RTA) or Azure Data Explorer (ADX)

• Proficiency in Kusto Query Language (KQL)

• Experience with event-driven architectures and data streaming

• Integration with Event Hubs, IoT Hub, Kafka, or similar platforms

• Knowledge of time-series data processing and anomaly detection

• Familiarity with Microsoft Synapse, Power BI, and Databricks

Role Overview:
We are seeking a Microsoft Fabric Engineer with expertise in implementing Real-Time Intelligence solutions, particularly for time-series data processing. The ideal candidate will have hands-on experience with Azure Data Explorer (ADX) and be skilled in architecting, designing, and optimizing real-time data pipelines within Microsoft Fabric Real-Time Analytics (RTA).

Key Responsibilities:

1. Implementation:

   • Design and implement real-time data ingestion and processing pipelines using Microsoft Fabric Real-Time Analytics (RTA) or Azure Data Explorer (ADX).

   • Develop scalable solutions for processing high-volume time-series data from IoT devices, sensors, and telemetry sources.

   • Optimize data models for efficient storage, querying, and analytics in Fabric or ADX.

2. Data Engineering & Integration:

   • Work with Kusto Query Language (KQL) to build efficient queries for time-series analysis.

   • Develop connectors and integrations with event streams (IoT Hub, Event Hubs, Kafka, etc.) for real-time data ingestion.

   • Implement data transformation, enrichment, and aggregation strategies for downstream analytics and dashboards.

3. Performance Optimization & Reliability:

   • Tune KQL queries and ADX clusters to handle large-scale time-series data efficiently.

   • Implement data retention, indexing, partitioning, and archival strategies for optimized storage and retrieval.

   • Ensure high availability and fault tolerance in real-time streaming architectures.

4. Visualization & Analytics Enablement:

   • Enable real-time insights via Power BI, dashboards, alerts, and anomaly detection.

   • Collaborate with Data Science and BI teams to support predictive analytics and machine learning on time-series data.

   • Implement real-time triggers, alerts, and automated responses based on streaming insights.

Required Skills & Qualifications:

• 3+ years of experience in Microsoft Fabric, Real-Time Analytics (RTA), or Azure Data Explorer (ADX).

• Strong expertise in Kusto Query Language (KQL) and ADX data modeling.

• Hands-on experience with event-driven architectures, data streaming, and IoT analytics.

• Experience integrating with Event Hubs, IoT Hub, Kafka, or other real-time data sources.

• Knowledge of time-series data processing techniques, downsampling, and anomaly detection.

• Familiarity with Microsoft Synapse, Power BI, Databricks, or other analytics platforms.