Lead Data Engineer
| Company | Wells Fargo |
|---|---|
| Location | Charlotte, NC, USA, St. Louis, MO, USA |
| Salary | $Not Provided – $Not Provided |
| Type | Full-Time |
| Degrees | |
| Experience Level | Senior |
Requirements
- 5+ years of Database Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
- 5+ years working in an Agile or Kanban development environment
- 5+ years of working with DevOps CI/CD tools (GitHub or Jenkins)
- 5+ years of experience with SQL Server database design and development
- 5+ years of experience with Python development
Responsibilities
- Lead complex initiatives with broad impact and act as key participant in large scale software planning for the Technology area
- Design, develop, and run tooling to discover problems in data and applications and report the issues to engineering and product leadership
- Review and analyze complex software enhancement initiatives for business, operational or technical improvements that require in depth evaluation of multiple factors including intangibles or unprecedented factors
- Make decisions in complex and multi-faceted data engineering situations requiring understanding of software package options and programming language and compliance requirements that influence and lead Technology to meet deliverables and drive organizational change
- Strategically collaborate and consult with internal partners to resolve highly risky data engineering challenges
- Ensure systems are monitored to increase operational efficiency and managed to mitigate risk
- Define opportunities to maximize resource utilization and improve processes while reducing cost
- Building reusable virtualized datasets to reduce redundancy
- Improving governance and delivery standard across Analytical Reporting technology
- Refactoring and Reengineering legacy SQL Server and MS access-based dependencies
- Provide technical leadership and enforce engineering best practice.
Preferred Qualifications
- 5+ Years of developing enterprise-scale data modeling and pipeline engineering
- 5+ Years of developing modern data pipeline design, development and orchestration
- 5+ Microservice, Restful API, and Containerization Design and Development
- 5+ Power BI or Tableau Reporting Development