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
Participate in all scrum ceremonies
Experience And Knowledge Required Including Specific Functional, Product Or Domain Expertise
Blend of technical expertise with 5+ year of experience , analytical problem-solving, and collaboration with cross-functional teams