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Principal Data Engineer, Azure Data Lake And Synapse
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- Knowledge of various databases used in data warehousing, such as Oracle, SQL Server, PostgreSQL, or MySQL.
- Proficiency in ETL tools like Azure Data Factory, Azure Synapse, or Microsoft SSIS (SQL Server Integration Services) to extract data from various sources, transform it to fit the target schema, and load it into the data warehouse.
- Ability to design and implement data warehouse data models, including star schema, snowflake schema, and dimension hierarchies for optimized data retrieval and analysis.
- Expert in data integration techniques and data quality processes to ensure data accuracy, consistency, and reliability in the data warehouse.
- 2) 3 years of experience in the past 4 years in working with Microsoft Azure Cloud platform, including familiarity with other Azure services like Azure Data Lake Storage, Azure Databricks, Azure Data Factory, and Azure DevOps.
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