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
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