We need an experienced Azure Data Engineer to design and implement robust data solutions on the Azure platform. You'll work on ETL processes, data analytics, and collaborate with cross-functional teams to deliver scalable data engineering solutions. Requirements: • Strong experience with Azure Data Factory (ADF) for ETL processes • Proficiency in Azure Databricks for advanced analytics • Hands-on experience with Azure Data Lake Storage (ADLS) • Experience with Azure Synapse Analytics for real-time analytics • Strong SQL skills for querying and database optimization • Python programming for scripting and automation • Experience with data modeling and data warehousing concepts • Excellent communication skills to work with stakeholders • Bachelor's degree in Computer Science or related field Preferred: • Microsoft Certified: Azure Data Engineer Associate certification • Experience with Git version control and DevOps practices • Knowledge of data security and compliance best practices Deliverables: • Design and implement end-to-end data solutions • Develop ETL processes using Azure Data Factory • Create data processing solutions with Azure Synapse Analytics • Provide regular project updates and documentation • Collaborate with data scientists and business users This is an hourly position requiring strong technical expertise and communication skills. The project involves working with a dynamic team to build scalable data infrastructure on Azure.