The position requires a Bachelors degree, or foreign equivalent, in Engineering any, Computer Science, Information Technology, or a Data and Analytics Consulting Principal Consultant related field plus five 5 years of experience in the job offered or a related occupation. The position requires demonstrable experience with each of the following Financial Services Industry; Project execution using Waterfall or Agile Methodologies; Development of Relational Data Models, Dimensional Models, and other types of Data Structures; Development of Data Integration, Data Engineering or Data Analytics; Development of Master Data Management solutions, Data Quality Management solutions, or Data Cataloging solutions; Developing ETL and ELT processes with such tools SSIS, Informatica, Python, or DataBricks; Writing SQL Queries and working with many different databases and file structures Oracle, MS SQL, Flat Files, Sybase, DB2, or UDB; Building reports and visualizations using Data Visualization tools PowerBI or Tableau; Hands on experience working with and building solutions within Azure or other Cloud providers such as AWS; Azure cloud infrastructure or AWS cloud infrastructure; Cloud data modeling, ETL, data aggregation within Azure Cloud Native Infrastructure; Building data pipelines in data factory, Azure data lake, Azure SQL server, AWS Data Pipeline, and AWS glue; Project Management Collaboration tools Jira, MS Project, PowerPoint, or MS Excel.
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