Azure Data Engineer Requirements 4+ years’ overall experience in data domain (data analysis, database developer) Minimum 3 years’ experience as a cloud-based Data Engineer Minimum 3 years’ experience and strong knowledge of Azure Data Services such as Azure Data Lake Storage, Blob Storage, Azure Data Factory, Minimum 3 years’ experience on Apache Spark or Azure Databricks. Good hands on skills working with Python, PySpark, and SparkSQL Working Knowledge of Power BI is a plus Working Knowledge of Machine Learning and MLOps is a plus Good understanding of data integration and warehousing (ETL, ELT) processes Strong knowledge of Database concepts, SQL and experience in working with Database clients like, TOAD, SQL developer, SQL Server Management Studio Good knowledge of NoSQL/ Document DB. Good understanding of Enterprise Information Model and Enterprise Data Warehouse Proficient in analyzing business requirements and mapping them to technical requirements Data Analysis and Interpretation, and Data Issue Debugging Skills Good knowledge of DevOps tools and processes as it applies to Data Engineering