Data Architect | Engineer | On-Prem
3 weeks ago
We are offering a contract to hire employment opportunity for a Data Architect | Engineer in WEST DES MOINES, Iowa, In this role, you will be taking a hands-on approach in rebuilding our On-Prem data warehouse before transitioning to cloud technologies. Your main tasks will be centered around data warehousing, with a specific focus on fact and dimension tables, and SQL Server Analysis Services (SSAS) tools.
Responsibilities:
• Design and manage the on-premises data warehouse, ensuring its smooth operation.
• Develop and implement stored procedures to enhance the efficiency of data operations.
• Utilize SSIS as an ETL tool to extract, transform, and load data.
• Work closely with the data engineer to solve complex data-related issues.
• Leverage your knowledge of SSAS to analyze large volumes of data and support business intelligence applications.
• Utilize the star schema data model for organizing large amounts of data into a hierarchical structure.
• Ensure the accurate processing and maintenance of customer credit applications and records.
• Monitor customer accounts and take appropriate actions based on the data analysis.
• Use Azure Data Factory and Azure Data Lake for cloud data processing and storage.
• Support the transition from on-premises data warehouse to cloud (Azure) platforms.
• Minimum of 5 years of experience in a similar role as a Data Architect or Engineer• Proficiency in Cloud Technologies is mandatory
• Experience with Azure Data Factory and Azure Data Lake is required
• Expertise in Data Warehousing and Data Warehousing - Mart is necessary
• Familiarity with Business Intelligence and Data Warehousing (BI DW) is essential
• Strong understanding of Data Architecture is required
• Must have experience in SQL Stored Procedures and Stored Procedures
• Proficiency in SSIS - SQL Server Integration Services and SSIS ETL is a must
• Familiarity with SQL server management studio is mandatory
• Experience with SSRS - SQL Server Reporting Services is required
• Proficiency in Microsoft SQL Server, MS SQL Server, SQL Server, and SQL Server Analysis is necessary
• Experience with SSAS - SQL Server Analysis Services is required.
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