Data Engineer

Senior Data Engineer – Azure & Databricks We are seeking a highly skilled Senior Data Engineer to design, implement, and support advanced analytics and data engineering solutions using Microsoft Azure technologies. This role involves working closely with product owners and application teams to build scalable, secure, and high-performance data pipelines and analytics platforms. You will lead cloud-based data migration efforts, implement batch and streaming solutions, and contribute to the full development lifecycle including infrastructure, security, CI/CD, and production support. Key Responsibilities: Collaborate with cross-functional teams to design and deliver analytics solutions that drive business insights. Develop and maintain data engineering solutions using Azure services such as Azure Data Factory, Azure Databricks, Azure Functions, Event Hub, and Stream Analytics. Lead cloud engineering efforts including infrastructure setup, network configuration, and security implementation. Build and optimize batch and streaming data pipelines for real-time and historical data processing. Support the full development lifecycle: ingestion, modeling, testing, deployment, monitoring, and production support. Provide technical leadership and mentor junior engineers. Work within Agile and DevOps frameworks to ensure continuous delivery and operational excellence. Collaborate with geographically dispersed teams and align with CST time zone work hours. InterSources