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1 hour
1 hour
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1 year
1 year
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Database DeveloperServes as technical lead for strategic and enterprise level data driven projects. Collaborates with other areas of ET&S as well as business units. Follows and advises on industry standards and advances on data driven technologies and tools. Helps design and implement best practices for the data development team. Guides and mentors other less tenured data developers and analysts. Creates enterprise level end-to-end data flow diagrams and logical data models. Develops and reviews complex SQL, T-SQL scripts, stored procedures, and SSIS workflows for various reporting and data development projects. Documents data development best practices, enterprise level data flow diagrams, and provides recommendations regarding technology tools, products and services in order to help keep our environment on the cutting edge of technology. Serves as technical advisor to database administrators in areas of database optimization, indexing and data retention. Leads data developer on key strategic projects. Develops and designs solutions with security as a critical design requirement for data, systems, and applications.College degree in Analytics, Data Science, Data Management, CIS or similar, or equivalent training and/or experience. 7+ years experience as a data analyst or equivalent position where working with data is a primary responsibility. 7+ years experience with data technologies, process, data mapping tools with highly complex and integrated business models. Expert level knowledge of SQL, T-SQL, and SSIS.2-3 years of Profisee is required MS Office including Visio 2013. Ability to lead large data driven enterprise projects. Ability to coach, mentor and lead others in the technology area. Ability to identify and set best practices for the data analyst role. Must be detailed oriented with ability to detect patterns from very large volumes of data with a focus on enterprise solutions. Ability to analyze data to determine relationships between very large and enterprise level datasets. Data Warehousing methodologies and best practices. Financial industry knowledge. Agile methodologies.
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