Consultant- Data engineer

CDW Corporation — Hyderabad - India

At CDW, we make it happen, together. Trust, connection, and commitment are at the heart of how we work together to deliver for our customers. It’s why we’re coworkers, not just employees. Coworkers who genuinely believe in supporting our customers and one another. We collectively forge our path forward with a level of commitment that speaks to who we are and where we’re headed. We’re proud to share our story and Make Amazing Happen at CDW. Job Summary The Data Engineer will support CDW’s enterprise data and analytics initiatives by designing, building, and maintaining reliable and scalable data pipelines within the Azure and Microsoft Fabric ecosystem. This role focuses on ingesting, transforming, and delivering curated data to support analytics, reporting, and data science use cases across the organization. The ideal candidate is execution-focused, comfortable working within established architectures and standards, and experienced collaborating with onshore teams to deliver production-quality data solutions. Key Responsibilities - Design, develop, and maintain data ingestion and transformation pipelines using Azure Data Factory / Fabric Data Factory, SSIS, and related Azure services. - Integrate source systems into the Enterprise Data Lake / Fabric Lakehouse following established data engineering standards and best practices. - Support the preparation of curated datasets optimized for business intelligence, analytics, and data science use cases. - Collaborate with onshore data engineers, analysts, and architects to implement data models, transformations, and delivery patterns. - Monitor, troubleshoot, and optimize data pipelines to ensure reliability, performance, and operational stability. - Document data pipelines, transformations, and operational procedures to support maintainability and knowledge transfer. - Follow CI/CD, version control, and deployment practices to support promotion of data pipelines from development through production environments. - Particip

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