Azure Data Engineer

Role & responsibilities

• Blend of technical expertise with 3 to 9 year of experience, analytical problem-solving, and collaboration with cross-functional teams. Design and implement Azure data engineering solutions (Ingestion & Curation)
• Create and maintain Azure data solutions including Azure SQL Database, Azure Data Lake, and Azure Blob Storage.
• Design, implement, and maintain data pipelines for data ingestion, processing, and transformation in Azure.
• Utilizing Azure Data Factory or comparable technologies, create and maintain ETL (Extract, Transform, Load) operations
• Use Azure Data Factory and Databricks to assemble large, complex data sets
• Implementing data validation and cleansing procedures will ensure the quality, integrity, and dependability of the data.
• Ensure data quality / security and compliance.
• Optimize Azure SQL databases for efficient query performance.
• Collaborate with data engineers, and other stakeholders to understand requirements and translate them into scalable and reliable data platform architectures.