Senior Data Engineer

Senior Data Engineer (Azure / Microsoft Technologies) Location: India (Remote, Full-Time) Experience: 7+ Years (Strong Hands-On, Production-Grade) 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. Why Join Us Work on enterprise-scale, AI-ready data platforms.

Fully remote role with strong technical ownership. Opportunity to define standards and best practices.