Job Description

Introduction As part of our Enterprise Data and Analytics initiative, we are looking for a consultant Snowflake engineer who is an expert with Snowflake and has the ability to implement a business use case using Python/SnowSQL, work with our Internal technology team, Data Engineering team and the business to implement the solution. OPPORTUNITY The Data and analytics organization is in the third year of our data initiative Ethos. We have already implemented Snowflake and satisfied our goals for 2024. We are looking for a Snowflake Engineer with experience implementing a business use case using Python/SnowSQL (must have) and Azure Data Factory (good to have). The project involves building a use case for our Enterprise Risk department, enabling the business to bring in new external data sets via Snowflake Marketplace and other sites, upload data using .csv files, integrate Enterprise Data Warehouse data and finally be able to implement risk models in Python with this snowflake DataMart. Job Description Responsibilities: Integrate Snowflake with our existing technologies such as Microsoft Azure, Azure SQL Database, Tableau, Alation. Lead and support our infrastructure team to implement business use case using Snowflake. Create Datamart for our internal Enterprise Risk Management department. Implement Python modeling with Snowpark Required Skills: Provides the most efficient, secure and sustainable solution after weighing out all the options based on all the resources available at the bank and outside the bank. Champions and educates the team on the features of Snowflake. Prior experience coaching teams in Snowflake adoption Excellent technical communication/collaboration skills Adaptable self-starter who is skilled at Snowflake implementation in ambiguous environments Elective Skills: Experience in a highly regulated and secure environment. Experience in banking or a financial industry or another Company. Experience working in an Agile environment Theoretical knowledge of Microsoft Azure, Azure Data Factory and Azure SQL Database

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