Data Architect (Pooling)

Qualifications

• Proficient in data modeling for both transactional and dimensional data warehouse databases.
• Proficient in creation of source to target mappings; mapping of tables, files, XML schemas from source to target .
• Working experience with a standard data modeling toolset, working knowledge of ER/Studio a strong plus.
• Data mining skills (including data auditing, aggregation validation and reconciliation)
• Strong ability with SQL Server, Azure Databases such as Fabric Lakehouse and Synapse.
• Data Analysis experience with data profiling and data validation.
• Data Quality understanding of DQ concepts and familiarity with DQ tools and methods.
• Communicate with customers to obtain data requirements and perform data analysis on data provided
• Working knowledge of Hadoop Platform and data components like Hive, Hbase, or Impala.
• Knowledge of real-time analytics and BI platforms su...