Technical Skills:
• Azure Services:Deep understanding and experience with Azure Data Factory, Azure Synapse Analytics, Azure Data Lake Storage, Azure Databricks, Azure SQL Database, Azure Cosmos DB, and other relevant Azure data services.
• Data Warehousing and Data Lakes:Knowledge of designing, implementing, and managing data warehouses and data lakes on Azure.
• ETL Processes:Expertise in developing and maintaining ETL (Extract, Transform, Load) pipelines using tools like Azure Data Factory.
• Programming Languages:Proficiency in SQL for data manipulation and querying, and experience with programming languages like Python, Scala, or Java for data processing and pipeline development.
• Big Data Technologies:Familiarity with big data technologies such as Apache Spark and Hadoop, and their integration with Azure services.
• Data Modeling:Ability to design and implement effective data models to represent business entities and relationships.
• Database Management:Experience with both SQL and NoSQL databases, including Azure SQL Database and Azure Cosmos DB.
