What are the responsibilities and job description for the Senior Data Engineer-ETL position at WELLS FARGO BANK?
The Wealth Management Data Solutions (WMDS) organization provides direct technology support for core engineering products, operational data products and data analytics. It develops and drives engineering strategy, while enabling tech transformation by partnering closely with WIM product groups. Not only does the team develop the engineering blue- print and core components, but it serves as the liaison to the Enterprise Architecture Group. With 300 staff members across the US and India, Data Solutions is on a mission to modernize its technology and build stronger, more agile scrum teams. We are seeking world-class talent, like you, to help deliver innovative solutions and to drive that transformation. If you're passionate about tackling complex challenges and advancing technology, we invite you to join us in shaping the future of data-driven solutions.
About this role :
Wells Fargo is seeking a transformative Senior Data Engineer to develop the data enablement products for some of the Data Solutions products in Wealth Management Technology. This person will be responsible working to execute the roadmap of engineering teams with latest technologies, principles and deliver the data products aligned with the needs of the sourcing API platforms.
Learn more about the career areas and business divisions at wellsfargojobs.com.
In this role, you will :
- Lead moderately complex initiatives within Technology and contribute to large scale data processing framework initiatives related to enterprise strategy deliverables
- Build and maintain optimized and highly available data pipelines that facilitate deeper analysis and reporting
- Review and analyze moderately complex business, operational or technical challenges that require an in-depth evaluation of variable factors
- Oversee the data integration work, including developing a data model, maintaining a data warehouse and analytics environment, and writing scripts for data integration and analysis
- Resolve moderately complex issues and lead teams to meet data engineering deliverables while leveraging solid understanding of data information policies, procedures and compliance requirements
- Collaborate and consult with colleagues and managers to resolve data engineering issues and achieve strategic goals
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Locations :
Posting End Date : 23 Feb 2025
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