Data & AI (Data Engineering)- Azure

Roles & responsibilities

• Participate in the design, development, and delivery of Azure data engineering solutions for large-scale data platforms
• Work directly with clients to gather requirements for data ingestion, integration, transformation, storage, and processing
• Develop and maintain ETL/ELT pipelines using Azure Data Factory, Synapse, Databricks, and other Azure-native services
• Implement highly scalable data lake and data warehouse architectures aligned with best practices
• Contribute to data modernization, cloud migration, and integration programs across industries
• Ensure data platform performance, reliability, security, and governance in alignment with organizational and compliance standards
• Collaborate closely with cloud architects, BI teams, and data scientists to support end-to-end data lifecycle needs
• Continuously learn new Azure data services and engineering frameworks, adopting industry ...

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