Senior Data Modeler
| Company | Wells Fargo |
|---|---|
| Location | Charlotte, NC, USA, St. Louis, MO, USA, Minneapolis, MN, USA |
| Salary | $84000 – $149400 |
| Type | Full-Time |
| Degrees | |
| Experience Level | Mid Level |
Requirements
- 4+ years of Data Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
- 2+ years of experience working with PowerDesigner, ER/Studio, ERWin, Hackolade or equivalent modeling tool
- 2+ years of experience understanding relational and dimensional modeling techniques
- 2+ years of SQL skills and understanding of data systems (e.g., SQL, Server, Oracle, PostgreSQL)
- 2+ years of experience working in a data warehouse or enterprise data environment
Responsibilities
- 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
Preferred Qualifications
- Familiarity or interest in ETL processes, and tools (e.g., Informatica, Talend, Apache NiFi, etc.)
- Python development and other scripting/data transformation tools
- Familiarity with Kafka
- Excellent communication and documentation skills
- Strong analytical thinking and problem-solving abilities
- Wealth Investment Management business knowledge
- Prior experience in the financial industry
- Experience with cloud platforms (e.g., AWS, Azure, or GCP)
- Exposure to big data technologies and distributed systems
- Background in agile environments and cross-functional team collaboration