Sr Data Engineer
7 days ago
Responsibilities:
• Manage and maintain On-Prem data warehouses to ensure efficient and accurate data handling
• Utilize SSAS (SQL Server Analysis Services) for data analysis, breaking up large volumes of data into more easily analyzed parts
• Implement and maintain fact and dimension tables as part of the data architecture
• Use data factory tools and techniques for managing and manipulating data
• Employ SSIS (SQL Server Integration Services) as an ETL tool for data extraction, transformation, and loading
• Maintain and manage on-prem SQL servers for efficient data storage and retrieval
• Develop and implement stored procedures for managing and manipulating data
• Prepare for transitioning to cloud-based data management, specifically Azure
• Utilize cloud technologies, Azure Data Factory, and Azure Data Lake for data management and analysis
• Apply business intelligence and data warehousing techniques for data analysis and reporting• Possess a minimum of 5 years of experience as a Data Engineer or a related role.
• Proficient in Cloud Technologies, with a particular emphasis on Azure Data Factory and Azure Data Lake.
• Demonstrate expertise in Data Warehousing and Data Warehousing - Mart.
• Able to use Business Intelligence and Data Warehousing (BI DW) tools and strategies effectively.
• Show a strong understanding of Data Architecture.
• Proficient in SQL Stored Procedures and Stored Procedures.
• Possess experience with SSIS - SQL Server Integration Services and SSIS ETL.
• Able to efficiently use SQL server management studio.
• Experienced in SSRS - SQL Server Reporting Services.
• Proficient in SQL Server, SQL Server, and SQL Server.
• Able to perform SQL Server Analysis and has experience with SSAS - SQL Server Analysis Services.
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