Senior Data Engineer (Azure / Microsoft Technologies)

About the job

Role Overview Design, build, and operate modern, cloud-native data platforms on Microsoft Azure. Own end-to-end data pipelines with focus on scalability, security, governance, and performance. Key Responsibilities Design cloud-native, scalable data architectures on Azure. Build batch, incremental, and CDC-based data pipelines. Implement ELT patterns using Azure Synapse and Databricks. Develop real-time data pipelines using Event Hubs, Kafka, and Stream Analytics. Implement data governance, security, monitoring, and CI/CD practices. Mentor engineers and lead architecture discussions. Required Skills & Experience • 7+ years of hands-on experience in Data Engineering. • Strong expertise in Azure Data Factory, ADLS Gen2, Synapse Analytics, and Azure SQL. • Hands-on experience with Azure Databricks and Spark / PySpark. • Experience with real-time data processing (Event Hubs, Kafka, Azure Stream Analytics). • Understanding of ML data workflows, feature engineering, and MLOps integration. • Experience working with C# on Azure-based data or platform workloads. • Strong SQL performance tuning and optimization skills. • Strong Python / PowerShell scripting skills. Nice to Have Docker and Kubernetes experience. Experience with Microsoft Fabric (Lakehouse, Data Pipelines, OneLake, Synapse Engineering). Experience collaborating with Analytics / BI teams (Power BI or equivalent) Exposure to at least one additional cloud platform (AWS or GCP). Cloud cost optimization experience.

Requirements

• Data Engineering
• Azure
• Python
• C#

Preferred Technologies

• Data Engineering
• Azure
• Python
• C#