Microsoft Fabric Engineer
7 days ago
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).
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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.
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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 and ADX data modeling. (good to have )
• 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.
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Confidentiality is assured, and only shortlisted candidates will be notified for interviews.
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