Senior Big Data Operations Engineer
| Company | Wells Fargo |
|---|---|
| Location | Charlotte, NC, USA |
| Salary | $Not Provided – $Not Provided |
| Type | Full-Time |
| Degrees | |
| Experience Level | Senior |
Requirements
- 4+ years of Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
- 4+ years of hands-on experience in Hadoop
- 4+ years of experience with MongoDB
- 3+ years of experience with Python or Unix/Shell scripting or Spark
- 3+ years of experience with Autosys
- 2+ years of experience with Dremio
- 2+ years of experience in setting up monitoring dashboards thru Grafana or Prometheus
- 1+ years of experience with Kubernetes
- 1+ years of experience with Azure or GCP
Responsibilities
- Lead moderately complex initiatives and deliverables within technical domain environments
- Contribute to large scale planning of strategies
- Design, code, test, debug, and document for projects and programs associated with technology domain, including upgrades and deployments
- Review moderately complex technical challenges that require an in-depth evaluation of technologies and procedures
- Resolve moderately complex issues and lead a team to meet existing client needs or potential new clients’ needs while leveraging solid understanding of the function, policies, procedures, or compliance requirements
- Collaborate and consult with peers, colleagues, and mid-level managers to resolve technical challenges and achieve goals
- Lead projects and act as an escalation point, provide guidance and direction to less experienced staff
Preferred Qualifications
- Data analytics capabilities and mindset at scale.
- Ability to interact effectively at varying levels of the business and technical organizations, including management
- Strong team or technical leadership experience
- Excellent verbal, written, and interpersonal communication skills
- Previous experience with Wells Fargo technical systems