Systems Integration Specialist

Azure Data Engineer Requirements

• 5+ 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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