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 best practices

•Optimiz...