Designs and develops systems for the maintenance of the Data Asset Program (Data Hub), ETL processes, and business intelligence.: Required: 10 Years
Develop a new data engineering process that leverage a new cloud architecture and will extend or migrate our existing data pipelines to this architect: Required: 10 Years
Design and support the DW database and table schemas for new and existent data sources for the data hub and warehouse. Design and development of Data: Required: 10 Years
Work closely with data analysts, data scientists, and other data consumers within the business in an attempt to gather and populate data hub and data: Required: 10 Years
Advanced understanding of data integration. Strong knowledge of database architectures: Required: 10 Years
Strong analytical and problem-solving skills, · Ability to build strong relationships both internally and externally: Required: 10 Years
Ability to negotiate and resolve conflicts, · Ability to effectively prioritize and handle multiple tasks and projects: Required: 10 Years
Excellent computer skills and be highly proficient in the use of Ms Word, PowerPoint, Ms Excel, MS Project, MS Visio, and MS Team Foundation Server: Required: 10 Years
Experience with key data warehousing architectures including Kimball and Inmon, and has a broad experience designing solutions using a broad set of da: Required: 10 Years
expertise in Data Factory v2, Data Lake Store, Data Lake Analytics, Azure Analysis Services, Azure Synapse: Required: 10 Years
IBM Datastage, Erwin, SQL Server (SSIS, SSRS, SSAS), ORACLE, T-SQL, Azure SQL Database, Azure SQL Datawarehouse.: Required: 10 Years
Operating System Environments (Windows, Unix, etc.) · Scripting experience with Windows and/or Python, Linux Shell scripting: Required: 10 Years
Experience in Data Governance tools Information governance catalog, Collibra, Purview: Required: 10 Years
Experience in AZURE Cloud engineering: Required: 4 Years