Masters degree or foreign equivalent in Computer Science, Information Systems, Information Technology or related and five 5 years of experience in data engineering in the financial services industry. Must have 5 years of experience in the following Designing and developing solutions using Datalakes and Datawarehouses such as Snowflake and AWS and selfreporting tools such as Alteryx, Sigma Computing and Tableau to catalog, process, and load data sources supporting ETLELT data pipelines; Using MS SQL Server, SSIS, SQL, Python, SSRS and TableauPowerBI and selfservice reporting tool like Sigma Computing; Collaborating with data architects and business analysts to define specifications and construct selfservice and standardized solutions for business users in the financial services industry; Identifying and developing applications to automate repeatable and manual business tasks to save hours, costs and improve productivity and efficiency; Identifying and executing agile and scrum practices while engineering data solutions to ensure high quality endproduct; Managing full life cycle of business automation projects.
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